********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 200053 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:64): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:128000) |- End Id = (G:128099,L:128099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200053 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 200593 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:65): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:128100) |- End Id = (G:128199,L:128199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200593 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 201031 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:66): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:128200) |- End Id = (G:128299,L:128299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 201031 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 200563 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:67): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:128300) |- End Id = (G:128399,L:128399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200563 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 200364 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:68): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:128400) |- End Id = (G:128499,L:128499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 200364 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 199843 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:69): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:128500) |- End Id = (G:128599,L:128599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 199843 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 200549 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:70): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:128600) |- End Id = (G:128699,L:128699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 200549 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 200124 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:71): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:128700) |- End Id = (G:128799,L:128799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 200124 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 199443 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:72): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:128800) |- End Id = (G:128899,L:128899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 199443 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 199689 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:73): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:128900) |- End Id = (G:128999,L:128999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 199689 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 199536 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:74): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:129000) |- End Id = (G:129099,L:129099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 199536 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 200011 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:75): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:129100) |- End Id = (G:129199,L:129199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 200011 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 200789 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:76): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:129200) |- End Id = (G:129299,L:129299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 200789 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 199523 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:77): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:129300) |- End Id = (G:129399,L:129399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 199523 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 199461 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:78): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:129400) |- End Id = (G:129499,L:129499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 199461 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 200578 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:79): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:129500) |- End Id = (G:129599,L:129599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 200578 |-+ Local Group exc1(G:48,L:32): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:64000) |- End Id = (G:65999,L:65999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:80): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:129600) |- End Id = (G:129699,L:129699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:33): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:66000) |- End Id = (G:67999,L:67999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:51,L:34): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:68000) |- End Id = (G:69999,L:69999) |- numPostSynapses = 200235 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:81): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:129700) |- End Id = (G:129799,L:129799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:35): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:70000) |- End Id = (G:71999,L:71999) |- numPostSynapses = 0 |- numPreSynapses = 200235 |-+ Local Group exc1(G:54,L:36): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:72000) |- End Id = (G:73999,L:73999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:82): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:129800) |- End Id = (G:129899,L:129899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:37): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:74000) |- End Id = (G:75999,L:75999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:57,L:38): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:76000) |- End Id = (G:77999,L:77999) |- numPostSynapses = 200513 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:83): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:129900) |- End Id = (G:129999,L:129999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:39): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:78000) |- End Id = (G:79999,L:79999) |- numPostSynapses = 0 |- numPreSynapses = 200513 |-+ Local Group exc1(G:60,L:40): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:80000) |- End Id = (G:81999,L:81999) |- numPostSynapses = 199756 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:84): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:130000) |- End Id = (G:130099,L:130099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:41): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:82000) |- End Id = (G:83999,L:83999) |- numPostSynapses = 0 |- numPreSynapses = 199756 |-+ Local Group exc1(G:63,L:42): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:84000) |- End Id = (G:85999,L:85999) |- numPostSynapses = 200093 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:85): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:130100) |- End Id = (G:130199,L:130199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:43): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:86000) |- End Id = (G:87999,L:87999) |- numPostSynapses = 0 |- numPreSynapses = 200093 |-+ Local Group exc1(G:66,L:44): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:88000) |- End Id = (G:89999,L:89999) |- numPostSynapses = 199187 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:86): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:130200) |- End Id = (G:130299,L:130299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:45): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:90000) |- End Id = (G:91999,L:91999) |- numPostSynapses = 0 |- numPreSynapses = 199187 |-+ Local Group exc1(G:69,L:46): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:92000) |- End Id = (G:93999,L:93999) |- numPostSynapses = 200005 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:87): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:130300) |- End Id = (G:130399,L:130399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:47): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:94000) |- End Id = (G:95999,L:95999) |- numPostSynapses = 0 |- numPreSynapses = 200005 |-+ Local Group exc1(G:72,L:48): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:96000) |- End Id = (G:97999,L:97999) |- numPostSynapses = 200094 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:88): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:130400) |- End Id = (G:130499,L:130499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:49): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:98000) |- End Id = (G:99999,L:99999) |- numPostSynapses = 0 |- numPreSynapses = 200094 |-+ Local Group exc1(G:75,L:50): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:100000) |- End Id = (G:101999,L:101999) |- numPostSynapses = 200307 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:89): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:130500) |- End Id = (G:130599,L:130599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:51): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:102000) |- End Id = (G:103999,L:103999) |- numPostSynapses = 0 |- numPreSynapses = 200307 |-+ Local Group exc1(G:78,L:52): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:104000) |- End Id = (G:105999,L:105999) |- numPostSynapses = 200275 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:90): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:130600) |- End Id = (G:130699,L:130699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:53): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:106000) |- End Id = (G:107999,L:107999) |- numPostSynapses = 0 |- numPreSynapses = 200275 |-+ Local Group exc1(G:81,L:54): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:108000) |- End Id = (G:109999,L:109999) |- numPostSynapses = 200437 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:91): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:130700) |- End Id = (G:130799,L:130799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:55): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:110000) |- End Id = (G:111999,L:111999) |- numPostSynapses = 0 |- numPreSynapses = 200437 |-+ Local Group exc1(G:84,L:56): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:112000) |- End Id = (G:113999,L:113999) |- numPostSynapses = 200630 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:92): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:130800) |- End Id = (G:130899,L:130899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:57): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:114000) |- End Id = (G:115999,L:115999) |- numPostSynapses = 0 |- numPreSynapses = 200630 |-+ Local Group exc1(G:87,L:58): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:116000) |- End Id = (G:117999,L:117999) |- numPostSynapses = 200303 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:93): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:130900) |- End Id = (G:130999,L:130999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:59): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:118000) |- End Id = (G:119999,L:119999) |- numPostSynapses = 0 |- numPreSynapses = 200303 |-+ Local Group exc1(G:90,L:60): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:120000) |- End Id = (G:121999,L:121999) |- numPostSynapses = 199882 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:94): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:131000) |- End Id = (G:131099,L:131099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:61): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:122000) |- End Id = (G:123999,L:123999) |- numPostSynapses = 0 |- numPreSynapses = 199882 |-+ Local Group exc1(G:93,L:62): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:124000) |- End Id = (G:125999,L:125999) |- numPostSynapses = 199731 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:95): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:131100) |- End Id = (G:131199,L:131199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:63): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:126000) |- End Id = (G:127999,L:127999) |- numPostSynapses = 0 |- numPreSynapses = 199731 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200053 |- Avg numPreSynapses = 100.03 |- Avg numPostSynapses = 100.03 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200593 |- Avg numPreSynapses = 100.30 |- Avg numPostSynapses = 100.30 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 201031 |- Avg numPreSynapses = 100.52 |- Avg numPostSynapses = 100.52 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200563 |- Avg numPreSynapses = 100.28 |- Avg numPostSynapses = 100.28 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200364 |- Avg numPreSynapses = 100.18 |- Avg numPostSynapses = 100.18 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199843 |- Avg numPreSynapses = 99.92 |- Avg numPostSynapses = 99.92 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200549 |- Avg numPreSynapses = 100.27 |- Avg numPostSynapses = 100.27 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200124 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199443 |- Avg numPreSynapses = 99.72 |- Avg numPostSynapses = 99.72 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199689 |- Avg numPreSynapses = 99.84 |- Avg numPostSynapses = 99.84 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199536 |- Avg numPreSynapses = 99.77 |- Avg numPostSynapses = 99.77 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200011 |- Avg numPreSynapses = 100.01 |- Avg numPostSynapses = 100.01 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200789 |- Avg numPreSynapses = 100.39 |- Avg numPostSynapses = 100.39 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199523 |- Avg numPreSynapses = 99.76 |- Avg numPostSynapses = 99.76 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199461 |- Avg numPreSynapses = 99.73 |- Avg numPostSynapses = 99.73 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200578 |- Avg numPreSynapses = 100.29 |- Avg numPostSynapses = 100.29 |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200235 |- Avg numPreSynapses = 100.12 |- Avg numPostSynapses = 100.12 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200513 |- Avg numPreSynapses = 100.26 |- Avg numPostSynapses = 100.26 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199756 |- Avg numPreSynapses = 99.88 |- Avg numPostSynapses = 99.88 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200093 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199187 |- Avg numPreSynapses = 99.59 |- Avg numPostSynapses = 99.59 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200005 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 100.00 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200094 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200307 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200275 |- Avg numPreSynapses = 100.14 |- Avg numPostSynapses = 100.14 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200437 |- Avg numPreSynapses = 100.22 |- Avg numPostSynapses = 100.22 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200630 |- Avg numPreSynapses = 100.32 |- Avg numPostSynapses = 100.32 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200303 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199882 |- Avg numPreSynapses = 99.94 |- Avg numPostSynapses = 99.94 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199731 |- Avg numPreSynapses = 99.87 |- Avg numPostSynapses = 99.87 ***************** Initializing CPU 0 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 1 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:23.610 00:00:23.609 00:00:23.610 | | runNetwork 00:00:23.610 00:02:59.489 00:02:35.879 00:02:59.489 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 12803826 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 155.88 sec Average Firing Rate: 2+ms delay = 10.322 Hz 1ms delay = inf Hz Overall = 20.235 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13212000 1ms delay = 13336813 Total = 26548813 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 399690 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:64): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:128000) |- End Id = (G:128099,L:128099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399690 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 400408 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:65): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:128100) |- End Id = (G:128199,L:128199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400408 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 400958 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:66): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:128200) |- End Id = (G:128299,L:128299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 400958 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 400446 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:67): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:128300) |- End Id = (G:128399,L:128399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 400446 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 399761 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:68): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:128400) |- End Id = (G:128499,L:128499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 399761 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 399777 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:69): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:128500) |- End Id = (G:128599,L:128599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 399777 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 400420 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:70): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:128600) |- End Id = (G:128699,L:128699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 400420 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 400298 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:71): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:128700) |- End Id = (G:128799,L:128799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 400298 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 399371 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:72): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:128800) |- End Id = (G:128899,L:128899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 399371 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 400272 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:73): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:128900) |- End Id = (G:128999,L:128999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 400272 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 399108 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:74): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:129000) |- End Id = (G:129099,L:129099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 399108 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 399571 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:75): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:129100) |- End Id = (G:129199,L:129199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 399571 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 400704 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:76): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:129200) |- End Id = (G:129299,L:129299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 400704 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 400068 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:77): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:129300) |- End Id = (G:129399,L:129399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 400068 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 400133 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:78): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:129400) |- End Id = (G:129499,L:129499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 400133 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 400479 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:79): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:129500) |- End Id = (G:129599,L:129599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 400479 |-+ Local Group exc1(G:48,L:32): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:64000) |- End Id = (G:65999,L:65999) |- numPostSynapses = 400539 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:80): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:129600) |- End Id = (G:129699,L:129699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:33): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:66000) |- End Id = (G:67999,L:67999) |- numPostSynapses = 0 |- numPreSynapses = 400539 |-+ Local Group exc1(G:51,L:34): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:68000) |- End Id = (G:69999,L:69999) |- numPostSynapses = 399893 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:81): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:129700) |- End Id = (G:129799,L:129799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:35): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:70000) |- End Id = (G:71999,L:71999) |- numPostSynapses = 0 |- numPreSynapses = 399893 |-+ Local Group exc1(G:54,L:36): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:72000) |- End Id = (G:73999,L:73999) |- numPostSynapses = 399361 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:82): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:129800) |- End Id = (G:129899,L:129899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:37): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:74000) |- End Id = (G:75999,L:75999) |- numPostSynapses = 0 |- numPreSynapses = 399361 |-+ Local Group exc1(G:57,L:38): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:76000) |- End Id = (G:77999,L:77999) |- numPostSynapses = 399994 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:83): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:129900) |- End Id = (G:129999,L:129999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:39): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:78000) |- End Id = (G:79999,L:79999) |- numPostSynapses = 0 |- numPreSynapses = 399994 |-+ Local Group exc1(G:60,L:40): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:80000) |- End Id = (G:81999,L:81999) |- numPostSynapses = 399830 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:84): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:130000) |- End Id = (G:130099,L:130099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:41): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:82000) |- End Id = (G:83999,L:83999) |- numPostSynapses = 0 |- numPreSynapses = 399830 |-+ Local Group exc1(G:63,L:42): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:84000) |- End Id = (G:85999,L:85999) |- numPostSynapses = 399724 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:85): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:130100) |- End Id = (G:130199,L:130199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:43): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:86000) |- End Id = (G:87999,L:87999) |- numPostSynapses = 0 |- numPreSynapses = 399724 |-+ Local Group exc1(G:66,L:44): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:88000) |- End Id = (G:89999,L:89999) |- numPostSynapses = 399880 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:86): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:130200) |- End Id = (G:130299,L:130299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:45): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:90000) |- End Id = (G:91999,L:91999) |- numPostSynapses = 0 |- numPreSynapses = 399880 |-+ Local Group exc1(G:69,L:46): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:92000) |- End Id = (G:93999,L:93999) |- numPostSynapses = 399018 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:87): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:130300) |- End Id = (G:130399,L:130399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:47): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:94000) |- End Id = (G:95999,L:95999) |- numPostSynapses = 0 |- numPreSynapses = 399018 |-+ Local Group exc1(G:72,L:48): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:96000) |- End Id = (G:97999,L:97999) |- numPostSynapses = 399537 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:88): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:130400) |- End Id = (G:130499,L:130499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:49): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:98000) |- End Id = (G:99999,L:99999) |- numPostSynapses = 0 |- numPreSynapses = 399537 |-+ Local Group exc1(G:75,L:50): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:100000) |- End Id = (G:101999,L:101999) |- numPostSynapses = 401152 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:89): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:130500) |- End Id = (G:130599,L:130599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:51): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:102000) |- End Id = (G:103999,L:103999) |- numPostSynapses = 0 |- numPreSynapses = 401152 |-+ Local Group exc1(G:78,L:52): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:104000) |- End Id = (G:105999,L:105999) |- numPostSynapses = 399781 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:90): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:130600) |- End Id = (G:130699,L:130699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:53): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:106000) |- End Id = (G:107999,L:107999) |- numPostSynapses = 0 |- numPreSynapses = 399781 |-+ Local Group exc1(G:81,L:54): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:108000) |- End Id = (G:109999,L:109999) |- numPostSynapses = 400405 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:91): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:130700) |- End Id = (G:130799,L:130799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:55): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:110000) |- End Id = (G:111999,L:111999) |- numPostSynapses = 0 |- numPreSynapses = 400405 |-+ Local Group exc1(G:84,L:56): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:112000) |- End Id = (G:113999,L:113999) |- numPostSynapses = 400678 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:92): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:130800) |- End Id = (G:130899,L:130899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:57): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:114000) |- End Id = (G:115999,L:115999) |- numPostSynapses = 0 |- numPreSynapses = 400678 |-+ Local Group exc1(G:87,L:58): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:116000) |- End Id = (G:117999,L:117999) |- numPostSynapses = 400177 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:93): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:130900) |- End Id = (G:130999,L:130999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:59): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:118000) |- End Id = (G:119999,L:119999) |- numPostSynapses = 0 |- numPreSynapses = 400177 |-+ Local Group exc1(G:90,L:60): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:120000) |- End Id = (G:121999,L:121999) |- numPostSynapses = 400306 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:94): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:131000) |- End Id = (G:131099,L:131099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:61): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:122000) |- End Id = (G:123999,L:123999) |- numPostSynapses = 0 |- numPreSynapses = 400306 |-+ Local Group exc1(G:93,L:62): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:124000) |- End Id = (G:125999,L:125999) |- numPostSynapses = 399901 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:95): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:131100) |- End Id = (G:131199,L:131199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:63): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:126000) |- End Id = (G:127999,L:127999) |- numPostSynapses = 0 |- numPreSynapses = 399901 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399690 |- Avg numPreSynapses = 199.85 |- Avg numPostSynapses = 199.85 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400408 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400958 |- Avg numPreSynapses = 200.48 |- Avg numPostSynapses = 200.48 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400446 |- Avg numPreSynapses = 200.22 |- Avg numPostSynapses = 200.22 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399761 |- Avg numPreSynapses = 199.88 |- Avg numPostSynapses = 199.88 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399777 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400420 |- Avg numPreSynapses = 200.21 |- Avg numPostSynapses = 200.21 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400298 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399371 |- Avg numPreSynapses = 199.69 |- Avg numPostSynapses = 199.69 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400272 |- Avg numPreSynapses = 200.14 |- Avg numPostSynapses = 200.14 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399108 |- Avg numPreSynapses = 199.55 |- Avg numPostSynapses = 199.55 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399571 |- Avg numPreSynapses = 199.79 |- Avg numPostSynapses = 199.79 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400704 |- Avg numPreSynapses = 200.35 |- Avg numPostSynapses = 200.35 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400068 |- Avg numPreSynapses = 200.03 |- Avg numPostSynapses = 200.03 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400133 |- Avg numPreSynapses = 200.07 |- Avg numPostSynapses = 200.07 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400479 |- Avg numPreSynapses = 200.24 |- Avg numPostSynapses = 200.24 |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400539 |- Avg numPreSynapses = 200.27 |- Avg numPostSynapses = 200.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399893 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399361 |- Avg numPreSynapses = 199.68 |- Avg numPostSynapses = 199.68 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399994 |- Avg numPreSynapses = 200.00 |- Avg numPostSynapses = 200.00 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399830 |- Avg numPreSynapses = 199.91 |- Avg numPostSynapses = 199.91 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399724 |- Avg numPreSynapses = 199.86 |- Avg numPostSynapses = 199.86 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399880 |- Avg numPreSynapses = 199.94 |- Avg numPostSynapses = 199.94 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399018 |- Avg numPreSynapses = 199.51 |- Avg numPostSynapses = 199.51 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399537 |- Avg numPreSynapses = 199.77 |- Avg numPostSynapses = 199.77 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 401152 |- Avg numPreSynapses = 200.58 |- Avg numPostSynapses = 200.58 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399781 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400405 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400678 |- Avg numPreSynapses = 200.34 |- Avg numPostSynapses = 200.34 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400177 |- Avg numPreSynapses = 200.09 |- Avg numPostSynapses = 200.09 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400306 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399901 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 ***************** Initializing CPU 0 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 1 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:27.573 00:00:27.572 00:00:27.573 | | runNetwork 00:00:27.573 00:03:57.499 00:03:29.926 00:03:57.499 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 19201640 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 209.93 sec Average Firing Rate: 2+ms delay = 10.322 Hz 1ms delay = inf Hz Overall = 20.069 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13212000 1ms delay = 13118479 Total = 26330479 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 600521 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:64): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:128000) |- End Id = (G:128099,L:128099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600521 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 600560 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:65): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:128100) |- End Id = (G:128199,L:128199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600560 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 600711 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:66): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:128200) |- End Id = (G:128299,L:128299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600711 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 600387 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:67): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:128300) |- End Id = (G:128399,L:128399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 600387 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 599855 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:68): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:128400) |- End Id = (G:128499,L:128499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 599855 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 600448 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:69): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:128500) |- End Id = (G:128599,L:128599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 600448 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 599985 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:70): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:128600) |- End Id = (G:128699,L:128699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 599985 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 600580 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:71): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:128700) |- End Id = (G:128799,L:128799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 600580 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 599147 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:72): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:128800) |- End Id = (G:128899,L:128899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 599147 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 600273 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:73): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:128900) |- End Id = (G:128999,L:128999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 600273 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 598879 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:74): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:129000) |- End Id = (G:129099,L:129099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 598879 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 599524 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:75): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:129100) |- End Id = (G:129199,L:129199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 599524 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 601057 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:76): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:129200) |- End Id = (G:129299,L:129299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 601057 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 599883 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:77): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:129300) |- End Id = (G:129399,L:129399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 599883 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 600171 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:78): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:129400) |- End Id = (G:129499,L:129499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 600171 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 600450 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:79): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:129500) |- End Id = (G:129599,L:129599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 600450 |-+ Local Group exc1(G:48,L:32): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:64000) |- End Id = (G:65999,L:65999) |- numPostSynapses = 600535 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:80): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:129600) |- End Id = (G:129699,L:129699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:33): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:66000) |- End Id = (G:67999,L:67999) |- numPostSynapses = 0 |- numPreSynapses = 600535 |-+ Local Group exc1(G:51,L:34): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:68000) |- End Id = (G:69999,L:69999) |- numPostSynapses = 599389 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:81): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:129700) |- End Id = (G:129799,L:129799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:35): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:70000) |- End Id = (G:71999,L:71999) |- numPostSynapses = 0 |- numPreSynapses = 599389 |-+ Local Group exc1(G:54,L:36): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:72000) |- End Id = (G:73999,L:73999) |- numPostSynapses = 600099 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:82): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:129800) |- End Id = (G:129899,L:129899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:37): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:74000) |- End Id = (G:75999,L:75999) |- numPostSynapses = 0 |- numPreSynapses = 600099 |-+ Local Group exc1(G:57,L:38): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:76000) |- End Id = (G:77999,L:77999) |- numPostSynapses = 600572 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:83): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:129900) |- End Id = (G:129999,L:129999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:39): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:78000) |- End Id = (G:79999,L:79999) |- numPostSynapses = 0 |- numPreSynapses = 600572 |-+ Local Group exc1(G:60,L:40): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:80000) |- End Id = (G:81999,L:81999) |- numPostSynapses = 600117 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:84): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:130000) |- End Id = (G:130099,L:130099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:41): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:82000) |- End Id = (G:83999,L:83999) |- numPostSynapses = 0 |- numPreSynapses = 600117 |-+ Local Group exc1(G:63,L:42): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:84000) |- End Id = (G:85999,L:85999) |- numPostSynapses = 599775 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:85): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:130100) |- End Id = (G:130199,L:130199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:43): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:86000) |- End Id = (G:87999,L:87999) |- numPostSynapses = 0 |- numPreSynapses = 599775 |-+ Local Group exc1(G:66,L:44): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:88000) |- End Id = (G:89999,L:89999) |- numPostSynapses = 600106 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:86): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:130200) |- End Id = (G:130299,L:130299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:45): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:90000) |- End Id = (G:91999,L:91999) |- numPostSynapses = 0 |- numPreSynapses = 600106 |-+ Local Group exc1(G:69,L:46): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:92000) |- End Id = (G:93999,L:93999) |- numPostSynapses = 599108 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:87): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:130300) |- End Id = (G:130399,L:130399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:47): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:94000) |- End Id = (G:95999,L:95999) |- numPostSynapses = 0 |- numPreSynapses = 599108 |-+ Local Group exc1(G:72,L:48): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:96000) |- End Id = (G:97999,L:97999) |- numPostSynapses = 599961 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:88): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:130400) |- End Id = (G:130499,L:130499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:49): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:98000) |- End Id = (G:99999,L:99999) |- numPostSynapses = 0 |- numPreSynapses = 599961 |-+ Local Group exc1(G:75,L:50): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:100000) |- End Id = (G:101999,L:101999) |- numPostSynapses = 601509 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:89): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:130500) |- End Id = (G:130599,L:130599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:51): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:102000) |- End Id = (G:103999,L:103999) |- numPostSynapses = 0 |- numPreSynapses = 601509 |-+ Local Group exc1(G:78,L:52): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:104000) |- End Id = (G:105999,L:105999) |- numPostSynapses = 599935 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:90): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:130600) |- End Id = (G:130699,L:130699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:53): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:106000) |- End Id = (G:107999,L:107999) |- numPostSynapses = 0 |- numPreSynapses = 599935 |-+ Local Group exc1(G:81,L:54): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:108000) |- End Id = (G:109999,L:109999) |- numPostSynapses = 599550 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:91): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:130700) |- End Id = (G:130799,L:130799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:55): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:110000) |- End Id = (G:111999,L:111999) |- numPostSynapses = 0 |- numPreSynapses = 599550 |-+ Local Group exc1(G:84,L:56): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:112000) |- End Id = (G:113999,L:113999) |- numPostSynapses = 600466 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:92): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:130800) |- End Id = (G:130899,L:130899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:57): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:114000) |- End Id = (G:115999,L:115999) |- numPostSynapses = 0 |- numPreSynapses = 600466 |-+ Local Group exc1(G:87,L:58): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:116000) |- End Id = (G:117999,L:117999) |- numPostSynapses = 599723 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:93): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:130900) |- End Id = (G:130999,L:130999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:59): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:118000) |- End Id = (G:119999,L:119999) |- numPostSynapses = 0 |- numPreSynapses = 599723 |-+ Local Group exc1(G:90,L:60): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:120000) |- End Id = (G:121999,L:121999) |- numPostSynapses = 600565 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:94): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:131000) |- End Id = (G:131099,L:131099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:61): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:122000) |- End Id = (G:123999,L:123999) |- numPostSynapses = 0 |- numPreSynapses = 600565 |-+ Local Group exc1(G:93,L:62): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:124000) |- End Id = (G:125999,L:125999) |- numPostSynapses = 599562 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:95): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:131100) |- End Id = (G:131199,L:131199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:63): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:126000) |- End Id = (G:127999,L:127999) |- numPostSynapses = 0 |- numPreSynapses = 599562 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600521 |- Avg numPreSynapses = 300.26 |- Avg numPostSynapses = 300.26 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600560 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600711 |- Avg numPreSynapses = 300.36 |- Avg numPostSynapses = 300.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600387 |- Avg numPreSynapses = 300.19 |- Avg numPostSynapses = 300.19 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599855 |- Avg numPreSynapses = 299.93 |- Avg numPostSynapses = 299.93 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600448 |- Avg numPreSynapses = 300.22 |- Avg numPostSynapses = 300.22 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599985 |- Avg numPreSynapses = 299.99 |- Avg numPostSynapses = 299.99 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600580 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599147 |- Avg numPreSynapses = 299.57 |- Avg numPostSynapses = 299.57 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600273 |- Avg numPreSynapses = 300.14 |- Avg numPostSynapses = 300.14 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 598879 |- Avg numPreSynapses = 299.44 |- Avg numPostSynapses = 299.44 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599524 |- Avg numPreSynapses = 299.76 |- Avg numPostSynapses = 299.76 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601057 |- Avg numPreSynapses = 300.53 |- Avg numPostSynapses = 300.53 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599883 |- Avg numPreSynapses = 299.94 |- Avg numPostSynapses = 299.94 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600171 |- Avg numPreSynapses = 300.09 |- Avg numPostSynapses = 300.09 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600450 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600535 |- Avg numPreSynapses = 300.27 |- Avg numPostSynapses = 300.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599389 |- Avg numPreSynapses = 299.69 |- Avg numPostSynapses = 299.69 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600099 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600572 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600117 |- Avg numPreSynapses = 300.06 |- Avg numPostSynapses = 300.06 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599775 |- Avg numPreSynapses = 299.89 |- Avg numPostSynapses = 299.89 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600106 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599108 |- Avg numPreSynapses = 299.55 |- Avg numPostSynapses = 299.55 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599961 |- Avg numPreSynapses = 299.98 |- Avg numPostSynapses = 299.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601509 |- Avg numPreSynapses = 300.75 |- Avg numPostSynapses = 300.75 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599935 |- Avg numPreSynapses = 299.97 |- Avg numPostSynapses = 299.97 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599550 |- Avg numPreSynapses = 299.77 |- Avg numPostSynapses = 299.77 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600466 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599723 |- Avg numPreSynapses = 299.86 |- Avg numPostSynapses = 299.86 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600565 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599562 |- Avg numPreSynapses = 299.78 |- Avg numPostSynapses = 299.78 ***************** Initializing CPU 0 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 1 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:31.497 00:00:31.496 00:00:31.497 | | runNetwork 00:00:31.497 00:05:01.092 00:04:29.595 00:05:01.092 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 25603403 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 269.59 sec Average Firing Rate: 2+ms delay = 10.322 Hz 1ms delay = inf Hz Overall = 20.254 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13212000 1ms delay = 13360805 Total = 26572805 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 800488 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:64): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:128000) |- End Id = (G:128099,L:128099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800488 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 800514 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:65): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:128100) |- End Id = (G:128199,L:128199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800514 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 800727 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:66): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:128200) |- End Id = (G:128299,L:128299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800727 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 800546 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:67): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:128300) |- End Id = (G:128399,L:128399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 800546 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 799785 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:68): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:128400) |- End Id = (G:128499,L:128499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 799785 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 800115 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:69): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:128500) |- End Id = (G:128599,L:128599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 800115 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 799686 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:70): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:128600) |- End Id = (G:128699,L:128699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 799686 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 801618 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:71): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:128700) |- End Id = (G:128799,L:128799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 801618 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 799710 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:72): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:128800) |- End Id = (G:128899,L:128899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 799710 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 800142 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:73): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:128900) |- End Id = (G:128999,L:128999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 800142 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 799139 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:74): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:129000) |- End Id = (G:129099,L:129099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 799139 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 799400 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:75): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:129100) |- End Id = (G:129199,L:129199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 799400 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 801529 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:76): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:129200) |- End Id = (G:129299,L:129299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 801529 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 799021 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:77): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:129300) |- End Id = (G:129399,L:129399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 799021 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 800042 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:78): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:129400) |- End Id = (G:129499,L:129499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 800042 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 799984 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:79): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:129500) |- End Id = (G:129599,L:129599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 799984 |-+ Local Group exc1(G:48,L:32): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:64000) |- End Id = (G:65999,L:65999) |- numPostSynapses = 800361 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:80): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:129600) |- End Id = (G:129699,L:129699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:33): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:66000) |- End Id = (G:67999,L:67999) |- numPostSynapses = 0 |- numPreSynapses = 800361 |-+ Local Group exc1(G:51,L:34): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:68000) |- End Id = (G:69999,L:69999) |- numPostSynapses = 799976 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:81): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:129700) |- End Id = (G:129799,L:129799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:35): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:70000) |- End Id = (G:71999,L:71999) |- numPostSynapses = 0 |- numPreSynapses = 799976 |-+ Local Group exc1(G:54,L:36): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:72000) |- End Id = (G:73999,L:73999) |- numPostSynapses = 800127 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:82): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:129800) |- End Id = (G:129899,L:129899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:37): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:74000) |- End Id = (G:75999,L:75999) |- numPostSynapses = 0 |- numPreSynapses = 800127 |-+ Local Group exc1(G:57,L:38): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:76000) |- End Id = (G:77999,L:77999) |- numPostSynapses = 800492 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:83): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:129900) |- End Id = (G:129999,L:129999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:39): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:78000) |- End Id = (G:79999,L:79999) |- numPostSynapses = 0 |- numPreSynapses = 800492 |-+ Local Group exc1(G:60,L:40): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:80000) |- End Id = (G:81999,L:81999) |- numPostSynapses = 799233 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:84): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:130000) |- End Id = (G:130099,L:130099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:41): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:82000) |- End Id = (G:83999,L:83999) |- numPostSynapses = 0 |- numPreSynapses = 799233 |-+ Local Group exc1(G:63,L:42): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:84000) |- End Id = (G:85999,L:85999) |- numPostSynapses = 800226 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:85): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:130100) |- End Id = (G:130199,L:130199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:43): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:86000) |- End Id = (G:87999,L:87999) |- numPostSynapses = 0 |- numPreSynapses = 800226 |-+ Local Group exc1(G:66,L:44): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:88000) |- End Id = (G:89999,L:89999) |- numPostSynapses = 800321 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:86): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:130200) |- End Id = (G:130299,L:130299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:45): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:90000) |- End Id = (G:91999,L:91999) |- numPostSynapses = 0 |- numPreSynapses = 800321 |-+ Local Group exc1(G:69,L:46): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:92000) |- End Id = (G:93999,L:93999) |- numPostSynapses = 799244 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:87): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:130300) |- End Id = (G:130399,L:130399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:47): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:94000) |- End Id = (G:95999,L:95999) |- numPostSynapses = 0 |- numPreSynapses = 799244 |-+ Local Group exc1(G:72,L:48): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:96000) |- End Id = (G:97999,L:97999) |- numPostSynapses = 800166 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:88): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:130400) |- End Id = (G:130499,L:130499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:49): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:98000) |- End Id = (G:99999,L:99999) |- numPostSynapses = 0 |- numPreSynapses = 800166 |-+ Local Group exc1(G:75,L:50): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:100000) |- End Id = (G:101999,L:101999) |- numPostSynapses = 800738 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:89): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:130500) |- End Id = (G:130599,L:130599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:51): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:102000) |- End Id = (G:103999,L:103999) |- numPostSynapses = 0 |- numPreSynapses = 800738 |-+ Local Group exc1(G:78,L:52): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:104000) |- End Id = (G:105999,L:105999) |- numPostSynapses = 800032 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:90): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:130600) |- End Id = (G:130699,L:130699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:53): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:106000) |- End Id = (G:107999,L:107999) |- numPostSynapses = 0 |- numPreSynapses = 800032 |-+ Local Group exc1(G:81,L:54): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:108000) |- End Id = (G:109999,L:109999) |- numPostSynapses = 799972 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:91): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:130700) |- End Id = (G:130799,L:130799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:55): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:110000) |- End Id = (G:111999,L:111999) |- numPostSynapses = 0 |- numPreSynapses = 799972 |-+ Local Group exc1(G:84,L:56): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:112000) |- End Id = (G:113999,L:113999) |- numPostSynapses = 800516 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:92): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:130800) |- End Id = (G:130899,L:130899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:57): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:114000) |- End Id = (G:115999,L:115999) |- numPostSynapses = 0 |- numPreSynapses = 800516 |-+ Local Group exc1(G:87,L:58): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:116000) |- End Id = (G:117999,L:117999) |- numPostSynapses = 798495 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:93): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:130900) |- End Id = (G:130999,L:130999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:59): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:118000) |- End Id = (G:119999,L:119999) |- numPostSynapses = 0 |- numPreSynapses = 798495 |-+ Local Group exc1(G:90,L:60): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:120000) |- End Id = (G:121999,L:121999) |- numPostSynapses = 799737 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:94): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:131000) |- End Id = (G:131099,L:131099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:61): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:122000) |- End Id = (G:123999,L:123999) |- numPostSynapses = 0 |- numPreSynapses = 799737 |-+ Local Group exc1(G:93,L:62): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:124000) |- End Id = (G:125999,L:125999) |- numPostSynapses = 799207 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:95): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:131100) |- End Id = (G:131199,L:131199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:63): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:126000) |- End Id = (G:127999,L:127999) |- numPostSynapses = 0 |- numPreSynapses = 799207 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800488 |- Avg numPreSynapses = 400.24 |- Avg numPostSynapses = 400.24 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800514 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800727 |- Avg numPreSynapses = 400.36 |- Avg numPostSynapses = 400.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800546 |- Avg numPreSynapses = 400.27 |- Avg numPostSynapses = 400.27 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799785 |- Avg numPreSynapses = 399.89 |- Avg numPostSynapses = 399.89 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800115 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799686 |- Avg numPreSynapses = 399.84 |- Avg numPostSynapses = 399.84 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801618 |- Avg numPreSynapses = 400.81 |- Avg numPostSynapses = 400.81 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799710 |- Avg numPreSynapses = 399.86 |- Avg numPostSynapses = 399.86 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800142 |- Avg numPreSynapses = 400.07 |- Avg numPostSynapses = 400.07 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799139 |- Avg numPreSynapses = 399.57 |- Avg numPostSynapses = 399.57 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799400 |- Avg numPreSynapses = 399.70 |- Avg numPostSynapses = 399.70 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801529 |- Avg numPreSynapses = 400.76 |- Avg numPostSynapses = 400.76 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799021 |- Avg numPreSynapses = 399.51 |- Avg numPostSynapses = 399.51 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800042 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799984 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800361 |- Avg numPreSynapses = 400.18 |- Avg numPostSynapses = 400.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799976 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800127 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800492 |- Avg numPreSynapses = 400.25 |- Avg numPostSynapses = 400.25 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799233 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800226 |- Avg numPreSynapses = 400.11 |- Avg numPostSynapses = 400.11 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800321 |- Avg numPreSynapses = 400.16 |- Avg numPostSynapses = 400.16 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799244 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800166 |- Avg numPreSynapses = 400.08 |- Avg numPostSynapses = 400.08 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800738 |- Avg numPreSynapses = 400.37 |- Avg numPostSynapses = 400.37 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800032 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799972 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800516 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 798495 |- Avg numPreSynapses = 399.25 |- Avg numPostSynapses = 399.25 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799737 |- Avg numPreSynapses = 399.87 |- Avg numPostSynapses = 399.87 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799207 |- Avg numPreSynapses = 399.60 |- Avg numPostSynapses = 399.60 ***************** Initializing CPU 0 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 1 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:35.559 00:00:35.558 00:00:35.559 | | runNetwork 00:00:35.559 00:06:08.489 00:05:32.930 00:06:08.489 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 32001289 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 332.93 sec Average Firing Rate: 2+ms delay = 10.322 Hz 1ms delay = inf Hz Overall = 20.374 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13212000 1ms delay = 13518366 Total = 26730366 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1000601 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:64): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:128000) |- End Id = (G:128099,L:128099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000601 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1001516 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:65): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:128100) |- End Id = (G:128199,L:128199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1001516 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 1000561 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:66): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:128200) |- End Id = (G:128299,L:128299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000561 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:67): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:128300) |- End Id = (G:128399,L:128399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 999363 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:68): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:128400) |- End Id = (G:128499,L:128499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 999363 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 999729 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:69): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:128500) |- End Id = (G:128599,L:128599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 999729 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 1000610 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:70): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:128600) |- End Id = (G:128699,L:128699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1000610 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 1001773 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:71): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:128700) |- End Id = (G:128799,L:128799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1001773 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 999288 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:72): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:128800) |- End Id = (G:128899,L:128899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 999288 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:73): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:128900) |- End Id = (G:128999,L:128999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 999125 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:74): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:129000) |- End Id = (G:129099,L:129099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 999125 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 998917 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:75): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:129100) |- End Id = (G:129199,L:129199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 998917 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 1001770 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:76): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:129200) |- End Id = (G:129299,L:129299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 1001770 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 999456 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:77): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:129300) |- End Id = (G:129399,L:129399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 999456 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 1000204 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:78): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:129400) |- End Id = (G:129499,L:129499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 1000204 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 1000018 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:79): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:129500) |- End Id = (G:129599,L:129599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 1000018 |-+ Local Group exc1(G:48,L:32): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:64000) |- End Id = (G:65999,L:65999) |- numPostSynapses = 1000437 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:80): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:129600) |- End Id = (G:129699,L:129699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:33): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:66000) |- End Id = (G:67999,L:67999) |- numPostSynapses = 0 |- numPreSynapses = 1000437 |-+ Local Group exc1(G:51,L:34): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:68000) |- End Id = (G:69999,L:69999) |- numPostSynapses = 999987 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:81): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:129700) |- End Id = (G:129799,L:129799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:35): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:70000) |- End Id = (G:71999,L:71999) |- numPostSynapses = 0 |- numPreSynapses = 999987 |-+ Local Group exc1(G:54,L:36): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:72000) |- End Id = (G:73999,L:73999) |- numPostSynapses = 1000027 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:82): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:129800) |- End Id = (G:129899,L:129899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:37): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:74000) |- End Id = (G:75999,L:75999) |- numPostSynapses = 0 |- numPreSynapses = 1000027 |-+ Local Group exc1(G:57,L:38): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:76000) |- End Id = (G:77999,L:77999) |- numPostSynapses = 1000310 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:83): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:129900) |- End Id = (G:129999,L:129999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:39): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:78000) |- End Id = (G:79999,L:79999) |- numPostSynapses = 0 |- numPreSynapses = 1000310 |-+ Local Group exc1(G:60,L:40): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:80000) |- End Id = (G:81999,L:81999) |- numPostSynapses = 998674 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:84): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:130000) |- End Id = (G:130099,L:130099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:41): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:82000) |- End Id = (G:83999,L:83999) |- numPostSynapses = 0 |- numPreSynapses = 998674 |-+ Local Group exc1(G:63,L:42): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:84000) |- End Id = (G:85999,L:85999) |- numPostSynapses = 1000359 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:85): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:130100) |- End Id = (G:130199,L:130199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:43): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:86000) |- End Id = (G:87999,L:87999) |- numPostSynapses = 0 |- numPreSynapses = 1000359 |-+ Local Group exc1(G:66,L:44): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:88000) |- End Id = (G:89999,L:89999) |- numPostSynapses = 1000863 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:86): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:130200) |- End Id = (G:130299,L:130299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:45): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:90000) |- End Id = (G:91999,L:91999) |- numPostSynapses = 0 |- numPreSynapses = 1000863 |-+ Local Group exc1(G:69,L:46): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:92000) |- End Id = (G:93999,L:93999) |- numPostSynapses = 999112 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:87): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:130300) |- End Id = (G:130399,L:130399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:47): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:94000) |- End Id = (G:95999,L:95999) |- numPostSynapses = 0 |- numPreSynapses = 999112 |-+ Local Group exc1(G:72,L:48): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:96000) |- End Id = (G:97999,L:97999) |- numPostSynapses = 999955 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:88): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:130400) |- End Id = (G:130499,L:130499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:49): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:98000) |- End Id = (G:99999,L:99999) |- numPostSynapses = 0 |- numPreSynapses = 999955 |-+ Local Group exc1(G:75,L:50): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:100000) |- End Id = (G:101999,L:101999) |- numPostSynapses = 1001033 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:89): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:130500) |- End Id = (G:130599,L:130599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:51): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:102000) |- End Id = (G:103999,L:103999) |- numPostSynapses = 0 |- numPreSynapses = 1001033 |-+ Local Group exc1(G:78,L:52): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:104000) |- End Id = (G:105999,L:105999) |- numPostSynapses = 1000652 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:90): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:130600) |- End Id = (G:130699,L:130699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:53): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:106000) |- End Id = (G:107999,L:107999) |- numPostSynapses = 0 |- numPreSynapses = 1000652 |-+ Local Group exc1(G:81,L:54): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:108000) |- End Id = (G:109999,L:109999) |- numPostSynapses = 1000352 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:91): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:130700) |- End Id = (G:130799,L:130799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:55): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:110000) |- End Id = (G:111999,L:111999) |- numPostSynapses = 0 |- numPreSynapses = 1000352 |-+ Local Group exc1(G:84,L:56): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:112000) |- End Id = (G:113999,L:113999) |- numPostSynapses = 1000752 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:92): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:130800) |- End Id = (G:130899,L:130899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:57): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:114000) |- End Id = (G:115999,L:115999) |- numPostSynapses = 0 |- numPreSynapses = 1000752 |-+ Local Group exc1(G:87,L:58): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:116000) |- End Id = (G:117999,L:117999) |- numPostSynapses = 998480 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:93): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:130900) |- End Id = (G:130999,L:130999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:59): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:118000) |- End Id = (G:119999,L:119999) |- numPostSynapses = 0 |- numPreSynapses = 998480 |-+ Local Group exc1(G:90,L:60): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:120000) |- End Id = (G:121999,L:121999) |- numPostSynapses = 1000202 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:94): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:131000) |- End Id = (G:131099,L:131099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:61): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:122000) |- End Id = (G:123999,L:123999) |- numPostSynapses = 0 |- numPreSynapses = 1000202 |-+ Local Group exc1(G:93,L:62): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:124000) |- End Id = (G:125999,L:125999) |- numPostSynapses = 999639 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:95): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:131100) |- End Id = (G:131199,L:131199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:63): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:126000) |- End Id = (G:127999,L:127999) |- numPostSynapses = 0 |- numPreSynapses = 999639 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000601 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001516 |- Avg numPreSynapses = 500.76 |- Avg numPostSynapses = 500.76 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000561 |- Avg numPreSynapses = 500.28 |- Avg numPostSynapses = 500.28 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999363 |- Avg numPreSynapses = 499.68 |- Avg numPostSynapses = 499.68 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999729 |- Avg numPreSynapses = 499.86 |- Avg numPostSynapses = 499.86 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000610 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001773 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999288 |- Avg numPreSynapses = 499.64 |- Avg numPostSynapses = 499.64 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999125 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998917 |- Avg numPreSynapses = 499.46 |- Avg numPostSynapses = 499.46 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001770 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999456 |- Avg numPreSynapses = 499.73 |- Avg numPostSynapses = 499.73 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000204 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000018 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000437 |- Avg numPreSynapses = 500.22 |- Avg numPostSynapses = 500.22 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999987 |- Avg numPreSynapses = 499.99 |- Avg numPostSynapses = 499.99 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000027 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000310 |- Avg numPreSynapses = 500.15 |- Avg numPostSynapses = 500.15 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998674 |- Avg numPreSynapses = 499.34 |- Avg numPostSynapses = 499.34 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000359 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000863 |- Avg numPreSynapses = 500.43 |- Avg numPostSynapses = 500.43 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999112 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999955 |- Avg numPreSynapses = 499.98 |- Avg numPostSynapses = 499.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001033 |- Avg numPreSynapses = 500.52 |- Avg numPostSynapses = 500.52 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000652 |- Avg numPreSynapses = 500.33 |- Avg numPostSynapses = 500.33 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000352 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000752 |- Avg numPreSynapses = 500.38 |- Avg numPostSynapses = 500.38 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998480 |- Avg numPreSynapses = 499.24 |- Avg numPostSynapses = 499.24 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000202 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999639 |- Avg numPreSynapses = 499.82 |- Avg numPostSynapses = 499.82 ***************** Initializing CPU 0 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 1 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:40.030 00:00:40.029 00:00:40.030 | | runNetwork 00:00:40.030 00:07:14.897 00:06:34.867 00:07:14.897 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 38403297 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 394.87 sec Average Firing Rate: 2+ms delay = 10.322 Hz 1ms delay = inf Hz Overall = 20.052 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13212000 1ms delay = 13095689 Total = 26307689 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1200708 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:64): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:128000) |- End Id = (G:128099,L:128099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200708 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1201329 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:65): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:128100) |- End Id = (G:128199,L:128199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1201329 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 1200484 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:66): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:128200) |- End Id = (G:128299,L:128299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200484 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 1199614 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:67): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:128300) |- End Id = (G:128399,L:128399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1199614 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 1199401 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:68): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:128400) |- End Id = (G:128499,L:128499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 1199401 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 1200370 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:69): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:128500) |- End Id = (G:128599,L:128599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 1200370 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 1199993 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:70): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:128600) |- End Id = (G:128699,L:128699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1199993 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 1201870 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:71): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:128700) |- End Id = (G:128799,L:128799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1201870 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 1199542 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:72): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:128800) |- End Id = (G:128899,L:128899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 1199542 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 1200119 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:73): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:128900) |- End Id = (G:128999,L:128999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 1200119 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 1199399 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:74): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:129000) |- End Id = (G:129099,L:129099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 1199399 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 1198565 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:75): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:129100) |- End Id = (G:129199,L:129199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 1198565 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 1202097 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:76): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:129200) |- End Id = (G:129299,L:129299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 1202097 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 1199707 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:77): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:129300) |- End Id = (G:129399,L:129399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 1199707 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 1200457 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:78): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:129400) |- End Id = (G:129499,L:129499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 1200457 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 1199626 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:79): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:129500) |- End Id = (G:129599,L:129599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 1199626 |-+ Local Group exc1(G:48,L:32): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:64000) |- End Id = (G:65999,L:65999) |- numPostSynapses = 1200354 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:80): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:129600) |- End Id = (G:129699,L:129699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:33): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:66000) |- End Id = (G:67999,L:67999) |- numPostSynapses = 0 |- numPreSynapses = 1200354 |-+ Local Group exc1(G:51,L:34): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:68000) |- End Id = (G:69999,L:69999) |- numPostSynapses = 1199297 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:81): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:129700) |- End Id = (G:129799,L:129799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:35): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:70000) |- End Id = (G:71999,L:71999) |- numPostSynapses = 0 |- numPreSynapses = 1199297 |-+ Local Group exc1(G:54,L:36): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:72000) |- End Id = (G:73999,L:73999) |- numPostSynapses = 1200239 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:82): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:129800) |- End Id = (G:129899,L:129899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:37): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:74000) |- End Id = (G:75999,L:75999) |- numPostSynapses = 0 |- numPreSynapses = 1200239 |-+ Local Group exc1(G:57,L:38): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:76000) |- End Id = (G:77999,L:77999) |- numPostSynapses = 1200224 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:83): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:129900) |- End Id = (G:129999,L:129999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:39): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:78000) |- End Id = (G:79999,L:79999) |- numPostSynapses = 0 |- numPreSynapses = 1200224 |-+ Local Group exc1(G:60,L:40): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:80000) |- End Id = (G:81999,L:81999) |- numPostSynapses = 1198456 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:84): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:130000) |- End Id = (G:130099,L:130099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:41): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:82000) |- End Id = (G:83999,L:83999) |- numPostSynapses = 0 |- numPreSynapses = 1198456 |-+ Local Group exc1(G:63,L:42): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:84000) |- End Id = (G:85999,L:85999) |- numPostSynapses = 1200212 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:85): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:130100) |- End Id = (G:130199,L:130199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:43): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:86000) |- End Id = (G:87999,L:87999) |- numPostSynapses = 0 |- numPreSynapses = 1200212 |-+ Local Group exc1(G:66,L:44): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:88000) |- End Id = (G:89999,L:89999) |- numPostSynapses = 1200751 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:86): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:130200) |- End Id = (G:130299,L:130299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:45): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:90000) |- End Id = (G:91999,L:91999) |- numPostSynapses = 0 |- numPreSynapses = 1200751 |-+ Local Group exc1(G:69,L:46): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:92000) |- End Id = (G:93999,L:93999) |- numPostSynapses = 1199644 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:87): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:130300) |- End Id = (G:130399,L:130399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:47): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:94000) |- End Id = (G:95999,L:95999) |- numPostSynapses = 0 |- numPreSynapses = 1199644 |-+ Local Group exc1(G:72,L:48): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:96000) |- End Id = (G:97999,L:97999) |- numPostSynapses = 1200563 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:88): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:130400) |- End Id = (G:130499,L:130499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:49): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:98000) |- End Id = (G:99999,L:99999) |- numPostSynapses = 0 |- numPreSynapses = 1200563 |-+ Local Group exc1(G:75,L:50): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:100000) |- End Id = (G:101999,L:101999) |- numPostSynapses = 1200570 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:89): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:130500) |- End Id = (G:130599,L:130599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:51): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:102000) |- End Id = (G:103999,L:103999) |- numPostSynapses = 0 |- numPreSynapses = 1200570 |-+ Local Group exc1(G:78,L:52): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:104000) |- End Id = (G:105999,L:105999) |- numPostSynapses = 1200593 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:90): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:130600) |- End Id = (G:130699,L:130699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:53): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:106000) |- End Id = (G:107999,L:107999) |- numPostSynapses = 0 |- numPreSynapses = 1200593 |-+ Local Group exc1(G:81,L:54): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:108000) |- End Id = (G:109999,L:109999) |- numPostSynapses = 1200473 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:91): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:130700) |- End Id = (G:130799,L:130799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:55): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:110000) |- End Id = (G:111999,L:111999) |- numPostSynapses = 0 |- numPreSynapses = 1200473 |-+ Local Group exc1(G:84,L:56): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:112000) |- End Id = (G:113999,L:113999) |- numPostSynapses = 1199680 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:92): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:130800) |- End Id = (G:130899,L:130899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:57): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:114000) |- End Id = (G:115999,L:115999) |- numPostSynapses = 0 |- numPreSynapses = 1199680 |-+ Local Group exc1(G:87,L:58): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:116000) |- End Id = (G:117999,L:117999) |- numPostSynapses = 1198291 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:93): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:130900) |- End Id = (G:130999,L:130999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:59): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:118000) |- End Id = (G:119999,L:119999) |- numPostSynapses = 0 |- numPreSynapses = 1198291 |-+ Local Group exc1(G:90,L:60): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:120000) |- End Id = (G:121999,L:121999) |- numPostSynapses = 1199458 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:94): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:131000) |- End Id = (G:131099,L:131099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:61): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:122000) |- End Id = (G:123999,L:123999) |- numPostSynapses = 0 |- numPreSynapses = 1199458 |-+ Local Group exc1(G:93,L:62): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:124000) |- End Id = (G:125999,L:125999) |- numPostSynapses = 1199933 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:95): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:131100) |- End Id = (G:131199,L:131199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:63): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:126000) |- End Id = (G:127999,L:127999) |- numPostSynapses = 0 |- numPreSynapses = 1199933 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200708 |- Avg numPreSynapses = 600.35 |- Avg numPostSynapses = 600.35 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201329 |- Avg numPreSynapses = 600.66 |- Avg numPostSynapses = 600.66 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200484 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199614 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199401 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200370 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199993 |- Avg numPreSynapses = 600.00 |- Avg numPostSynapses = 600.00 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201870 |- Avg numPreSynapses = 600.93 |- Avg numPostSynapses = 600.93 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199542 |- Avg numPreSynapses = 599.77 |- Avg numPostSynapses = 599.77 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200119 |- Avg numPreSynapses = 600.06 |- Avg numPostSynapses = 600.06 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199399 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198565 |- Avg numPreSynapses = 599.28 |- Avg numPostSynapses = 599.28 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1202097 |- Avg numPreSynapses = 601.05 |- Avg numPostSynapses = 601.05 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199707 |- Avg numPreSynapses = 599.85 |- Avg numPostSynapses = 599.85 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200457 |- Avg numPreSynapses = 600.23 |- Avg numPostSynapses = 600.23 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199626 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200354 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199297 |- Avg numPreSynapses = 599.65 |- Avg numPostSynapses = 599.65 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200239 |- Avg numPreSynapses = 600.12 |- Avg numPostSynapses = 600.12 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200224 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198456 |- Avg numPreSynapses = 599.23 |- Avg numPostSynapses = 599.23 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200212 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200751 |- Avg numPreSynapses = 600.38 |- Avg numPostSynapses = 600.38 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199644 |- Avg numPreSynapses = 599.82 |- Avg numPostSynapses = 599.82 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200563 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200570 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200593 |- Avg numPreSynapses = 600.30 |- Avg numPostSynapses = 600.30 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200473 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199680 |- Avg numPreSynapses = 599.84 |- Avg numPostSynapses = 599.84 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198291 |- Avg numPreSynapses = 599.15 |- Avg numPostSynapses = 599.15 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199458 |- Avg numPreSynapses = 599.73 |- Avg numPostSynapses = 599.73 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199933 |- Avg numPreSynapses = 599.97 |- Avg numPostSynapses = 599.97 ***************** Initializing CPU 0 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 1 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:44.298 00:00:44.297 00:00:44.298 | | runNetwork 00:00:44.298 00:08:20.413 00:07:36.115 00:08:20.413 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 44802019 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 456.11 sec Average Firing Rate: 2+ms delay = 10.322 Hz 1ms delay = inf Hz Overall = 20.081 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13212000 1ms delay = 13134558 Total = 26346558 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 200053 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:64000) |- End Id = (G:128099,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200053 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 200593 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:64100) |- End Id = (G:128199,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200593 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 201031 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:64200) |- End Id = (G:128299,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 201031 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 200563 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:64300) |- End Id = (G:128399,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200563 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 200364 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:64400) |- End Id = (G:128499,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 200364 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 199843 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:64500) |- End Id = (G:128599,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 199843 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 200549 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:64600) |- End Id = (G:128699,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 200549 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 200124 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:64700) |- End Id = (G:128799,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 200124 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 199443 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:64800) |- End Id = (G:128899,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 199443 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 199689 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:64900) |- End Id = (G:128999,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 199689 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 199536 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:65000) |- End Id = (G:129099,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 199536 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 200011 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:65100) |- End Id = (G:129199,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 200011 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 200789 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:65200) |- End Id = (G:129299,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 200789 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 199523 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:65300) |- End Id = (G:129399,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 199523 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 199461 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:65400) |- End Id = (G:129499,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 199461 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 200578 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:65500) |- End Id = (G:129599,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 200578 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200053 |- Avg numPreSynapses = 100.03 |- Avg numPostSynapses = 100.03 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200593 |- Avg numPreSynapses = 100.30 |- Avg numPostSynapses = 100.30 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 201031 |- Avg numPreSynapses = 100.52 |- Avg numPostSynapses = 100.52 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200563 |- Avg numPreSynapses = 100.28 |- Avg numPostSynapses = 100.28 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200364 |- Avg numPreSynapses = 100.18 |- Avg numPostSynapses = 100.18 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199843 |- Avg numPreSynapses = 99.92 |- Avg numPostSynapses = 99.92 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200549 |- Avg numPreSynapses = 100.27 |- Avg numPostSynapses = 100.27 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200124 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199443 |- Avg numPreSynapses = 99.72 |- Avg numPostSynapses = 99.72 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199689 |- Avg numPreSynapses = 99.84 |- Avg numPostSynapses = 99.84 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199536 |- Avg numPreSynapses = 99.77 |- Avg numPostSynapses = 99.77 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200011 |- Avg numPreSynapses = 100.01 |- Avg numPostSynapses = 100.01 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200789 |- Avg numPreSynapses = 100.39 |- Avg numPostSynapses = 100.39 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199523 |- Avg numPreSynapses = 99.76 |- Avg numPostSynapses = 99.76 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199461 |- Avg numPreSynapses = 99.73 |- Avg numPostSynapses = 99.73 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200578 |- Avg numPreSynapses = 100.29 |- Avg numPostSynapses = 100.29 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:64000) |- End Id = (G:129699,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 200235 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:64100) |- End Id = (G:129799,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200235 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:64200) |- End Id = (G:129899,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 200513 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:64300) |- End Id = (G:129999,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200513 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 199756 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:64400) |- End Id = (G:130099,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 199756 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 200093 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:64500) |- End Id = (G:130199,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 200093 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 199187 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:64600) |- End Id = (G:130299,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 199187 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 200005 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:64700) |- End Id = (G:130399,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 200005 |-+ Local Group exc1(G:72,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:32000) |- End Id = (G:97999,L:33999) |- numPostSynapses = 200094 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:64800) |- End Id = (G:130499,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:34000) |- End Id = (G:99999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 200094 |-+ Local Group exc1(G:75,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:36000) |- End Id = (G:101999,L:37999) |- numPostSynapses = 200307 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:64900) |- End Id = (G:130599,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:38000) |- End Id = (G:103999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 200307 |-+ Local Group exc1(G:78,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:40000) |- End Id = (G:105999,L:41999) |- numPostSynapses = 200275 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:65000) |- End Id = (G:130699,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:42000) |- End Id = (G:107999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 200275 |-+ Local Group exc1(G:81,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:44000) |- End Id = (G:109999,L:45999) |- numPostSynapses = 200437 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:65100) |- End Id = (G:130799,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:46000) |- End Id = (G:111999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 200437 |-+ Local Group exc1(G:84,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:48000) |- End Id = (G:113999,L:49999) |- numPostSynapses = 200630 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:65200) |- End Id = (G:130899,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:50000) |- End Id = (G:115999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 200630 |-+ Local Group exc1(G:87,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:52000) |- End Id = (G:117999,L:53999) |- numPostSynapses = 200303 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:65300) |- End Id = (G:130999,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:54000) |- End Id = (G:119999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 200303 |-+ Local Group exc1(G:90,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:56000) |- End Id = (G:121999,L:57999) |- numPostSynapses = 199882 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:65400) |- End Id = (G:131099,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:58000) |- End Id = (G:123999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 199882 |-+ Local Group exc1(G:93,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:60000) |- End Id = (G:125999,L:61999) |- numPostSynapses = 199731 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:65500) |- End Id = (G:131199,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:62000) |- End Id = (G:127999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 199731 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200235 |- Avg numPreSynapses = 100.12 |- Avg numPostSynapses = 100.12 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200513 |- Avg numPreSynapses = 100.26 |- Avg numPostSynapses = 100.26 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199756 |- Avg numPreSynapses = 99.88 |- Avg numPostSynapses = 99.88 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200093 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199187 |- Avg numPreSynapses = 99.59 |- Avg numPostSynapses = 99.59 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200005 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 100.00 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200094 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200307 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200275 |- Avg numPreSynapses = 100.14 |- Avg numPostSynapses = 100.14 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200437 |- Avg numPreSynapses = 100.22 |- Avg numPostSynapses = 100.22 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200630 |- Avg numPreSynapses = 100.32 |- Avg numPostSynapses = 100.32 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200303 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199882 |- Avg numPreSynapses = 99.94 |- Avg numPostSynapses = 99.94 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199731 |- Avg numPreSynapses = 99.87 |- Avg numPostSynapses = 99.87 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 2 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:23.484 00:00:23.483 00:00:23.484 | | runNetwork 00:00:23.484 00:02:10.875 00:01:47.391 00:02:10.875 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 12803826 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 107.39 sec Average Firing Rate: 2+ms delay = 10.358 Hz 1ms delay = inf Hz Overall = 20.290 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13258000 1ms delay = 13363044 Total = 26621044 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 399690 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:64000) |- End Id = (G:128099,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399690 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 400408 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:64100) |- End Id = (G:128199,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400408 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 400958 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:64200) |- End Id = (G:128299,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 400958 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 400446 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:64300) |- End Id = (G:128399,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 400446 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 399761 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:64400) |- End Id = (G:128499,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 399761 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 399777 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:64500) |- End Id = (G:128599,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 399777 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 400420 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:64600) |- End Id = (G:128699,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 400420 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 400298 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:64700) |- End Id = (G:128799,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 400298 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 399371 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:64800) |- End Id = (G:128899,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 399371 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 400272 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:64900) |- End Id = (G:128999,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 400272 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 399108 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:65000) |- End Id = (G:129099,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 399108 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 399571 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:65100) |- End Id = (G:129199,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 399571 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 400704 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:65200) |- End Id = (G:129299,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 400704 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 400068 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:65300) |- End Id = (G:129399,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 400068 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 400133 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:65400) |- End Id = (G:129499,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 400133 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 400479 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:65500) |- End Id = (G:129599,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 400479 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399690 |- Avg numPreSynapses = 199.85 |- Avg numPostSynapses = 199.85 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400408 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400958 |- Avg numPreSynapses = 200.48 |- Avg numPostSynapses = 200.48 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400446 |- Avg numPreSynapses = 200.22 |- Avg numPostSynapses = 200.22 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399761 |- Avg numPreSynapses = 199.88 |- Avg numPostSynapses = 199.88 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399777 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400420 |- Avg numPreSynapses = 200.21 |- Avg numPostSynapses = 200.21 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400298 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399371 |- Avg numPreSynapses = 199.69 |- Avg numPostSynapses = 199.69 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400272 |- Avg numPreSynapses = 200.14 |- Avg numPostSynapses = 200.14 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399108 |- Avg numPreSynapses = 199.55 |- Avg numPostSynapses = 199.55 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399571 |- Avg numPreSynapses = 199.79 |- Avg numPostSynapses = 199.79 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400704 |- Avg numPreSynapses = 200.35 |- Avg numPostSynapses = 200.35 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400068 |- Avg numPreSynapses = 200.03 |- Avg numPostSynapses = 200.03 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400133 |- Avg numPreSynapses = 200.07 |- Avg numPostSynapses = 200.07 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400479 |- Avg numPreSynapses = 200.24 |- Avg numPostSynapses = 200.24 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 400539 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:64000) |- End Id = (G:129699,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400539 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 399893 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:64100) |- End Id = (G:129799,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399893 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 399361 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:64200) |- End Id = (G:129899,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 399361 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 399994 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:64300) |- End Id = (G:129999,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 399994 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 399830 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:64400) |- End Id = (G:130099,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 399830 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 399724 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:64500) |- End Id = (G:130199,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 399724 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 399880 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:64600) |- End Id = (G:130299,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 399880 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 399018 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:64700) |- End Id = (G:130399,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 399018 |-+ Local Group exc1(G:72,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:32000) |- End Id = (G:97999,L:33999) |- numPostSynapses = 399537 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:64800) |- End Id = (G:130499,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:34000) |- End Id = (G:99999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 399537 |-+ Local Group exc1(G:75,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:36000) |- End Id = (G:101999,L:37999) |- numPostSynapses = 401152 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:64900) |- End Id = (G:130599,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:38000) |- End Id = (G:103999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 401152 |-+ Local Group exc1(G:78,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:40000) |- End Id = (G:105999,L:41999) |- numPostSynapses = 399781 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:65000) |- End Id = (G:130699,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:42000) |- End Id = (G:107999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 399781 |-+ Local Group exc1(G:81,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:44000) |- End Id = (G:109999,L:45999) |- numPostSynapses = 400405 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:65100) |- End Id = (G:130799,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:46000) |- End Id = (G:111999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 400405 |-+ Local Group exc1(G:84,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:48000) |- End Id = (G:113999,L:49999) |- numPostSynapses = 400678 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:65200) |- End Id = (G:130899,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:50000) |- End Id = (G:115999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 400678 |-+ Local Group exc1(G:87,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:52000) |- End Id = (G:117999,L:53999) |- numPostSynapses = 400177 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:65300) |- End Id = (G:130999,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:54000) |- End Id = (G:119999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 400177 |-+ Local Group exc1(G:90,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:56000) |- End Id = (G:121999,L:57999) |- numPostSynapses = 400306 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:65400) |- End Id = (G:131099,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:58000) |- End Id = (G:123999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 400306 |-+ Local Group exc1(G:93,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:60000) |- End Id = (G:125999,L:61999) |- numPostSynapses = 399901 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:65500) |- End Id = (G:131199,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:62000) |- End Id = (G:127999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 399901 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400539 |- Avg numPreSynapses = 200.27 |- Avg numPostSynapses = 200.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399893 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399361 |- Avg numPreSynapses = 199.68 |- Avg numPostSynapses = 199.68 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399994 |- Avg numPreSynapses = 200.00 |- Avg numPostSynapses = 200.00 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399830 |- Avg numPreSynapses = 199.91 |- Avg numPostSynapses = 199.91 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399724 |- Avg numPreSynapses = 199.86 |- Avg numPostSynapses = 199.86 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399880 |- Avg numPreSynapses = 199.94 |- Avg numPostSynapses = 199.94 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399018 |- Avg numPreSynapses = 199.51 |- Avg numPostSynapses = 199.51 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399537 |- Avg numPreSynapses = 199.77 |- Avg numPostSynapses = 199.77 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 401152 |- Avg numPreSynapses = 200.58 |- Avg numPostSynapses = 200.58 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399781 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400405 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400678 |- Avg numPreSynapses = 200.34 |- Avg numPostSynapses = 200.34 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400177 |- Avg numPreSynapses = 200.09 |- Avg numPostSynapses = 200.09 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400306 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399901 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 2 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:26.927 00:00:26.926 00:00:26.927 | | runNetwork 00:00:26.927 00:02:49.416 00:02:22.489 00:02:49.416 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 19201640 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 142.49 sec Average Firing Rate: 2+ms delay = 10.336 Hz 1ms delay = inf Hz Overall = 20.081 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13230000 1ms delay = 13115699 Total = 26345699 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 600521 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:64000) |- End Id = (G:128099,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600521 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 600560 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:64100) |- End Id = (G:128199,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600560 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 600711 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:64200) |- End Id = (G:128299,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600711 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 600387 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:64300) |- End Id = (G:128399,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 600387 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 599855 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:64400) |- End Id = (G:128499,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 599855 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 600448 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:64500) |- End Id = (G:128599,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 600448 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 599985 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:64600) |- End Id = (G:128699,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 599985 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 600580 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:64700) |- End Id = (G:128799,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 600580 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 599147 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:64800) |- End Id = (G:128899,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 599147 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 600273 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:64900) |- End Id = (G:128999,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 600273 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 598879 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:65000) |- End Id = (G:129099,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 598879 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 599524 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:65100) |- End Id = (G:129199,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 599524 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 601057 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:65200) |- End Id = (G:129299,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 601057 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 599883 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:65300) |- End Id = (G:129399,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 599883 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 600171 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:65400) |- End Id = (G:129499,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 600171 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 600450 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:65500) |- End Id = (G:129599,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 600450 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600521 |- Avg numPreSynapses = 300.26 |- Avg numPostSynapses = 300.26 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600560 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600711 |- Avg numPreSynapses = 300.36 |- Avg numPostSynapses = 300.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600387 |- Avg numPreSynapses = 300.19 |- Avg numPostSynapses = 300.19 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599855 |- Avg numPreSynapses = 299.93 |- Avg numPostSynapses = 299.93 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600448 |- Avg numPreSynapses = 300.22 |- Avg numPostSynapses = 300.22 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599985 |- Avg numPreSynapses = 299.99 |- Avg numPostSynapses = 299.99 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600580 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599147 |- Avg numPreSynapses = 299.57 |- Avg numPostSynapses = 299.57 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600273 |- Avg numPreSynapses = 300.14 |- Avg numPostSynapses = 300.14 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 598879 |- Avg numPreSynapses = 299.44 |- Avg numPostSynapses = 299.44 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599524 |- Avg numPreSynapses = 299.76 |- Avg numPostSynapses = 299.76 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601057 |- Avg numPreSynapses = 300.53 |- Avg numPostSynapses = 300.53 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599883 |- Avg numPreSynapses = 299.94 |- Avg numPostSynapses = 299.94 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600171 |- Avg numPreSynapses = 300.09 |- Avg numPostSynapses = 300.09 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600450 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 600535 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:64000) |- End Id = (G:129699,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600535 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 599389 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:64100) |- End Id = (G:129799,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599389 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 600099 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:64200) |- End Id = (G:129899,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600099 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 600572 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:64300) |- End Id = (G:129999,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 600572 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 600117 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:64400) |- End Id = (G:130099,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 600117 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 599775 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:64500) |- End Id = (G:130199,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 599775 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 600106 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:64600) |- End Id = (G:130299,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 600106 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 599108 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:64700) |- End Id = (G:130399,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 599108 |-+ Local Group exc1(G:72,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:32000) |- End Id = (G:97999,L:33999) |- numPostSynapses = 599961 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:64800) |- End Id = (G:130499,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:34000) |- End Id = (G:99999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 599961 |-+ Local Group exc1(G:75,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:36000) |- End Id = (G:101999,L:37999) |- numPostSynapses = 601509 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:64900) |- End Id = (G:130599,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:38000) |- End Id = (G:103999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 601509 |-+ Local Group exc1(G:78,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:40000) |- End Id = (G:105999,L:41999) |- numPostSynapses = 599935 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:65000) |- End Id = (G:130699,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:42000) |- End Id = (G:107999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 599935 |-+ Local Group exc1(G:81,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:44000) |- End Id = (G:109999,L:45999) |- numPostSynapses = 599550 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:65100) |- End Id = (G:130799,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:46000) |- End Id = (G:111999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 599550 |-+ Local Group exc1(G:84,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:48000) |- End Id = (G:113999,L:49999) |- numPostSynapses = 600466 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:65200) |- End Id = (G:130899,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:50000) |- End Id = (G:115999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 600466 |-+ Local Group exc1(G:87,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:52000) |- End Id = (G:117999,L:53999) |- numPostSynapses = 599723 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:65300) |- End Id = (G:130999,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:54000) |- End Id = (G:119999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 599723 |-+ Local Group exc1(G:90,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:56000) |- End Id = (G:121999,L:57999) |- numPostSynapses = 600565 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:65400) |- End Id = (G:131099,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:58000) |- End Id = (G:123999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 600565 |-+ Local Group exc1(G:93,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:60000) |- End Id = (G:125999,L:61999) |- numPostSynapses = 599562 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:65500) |- End Id = (G:131199,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:62000) |- End Id = (G:127999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 599562 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600535 |- Avg numPreSynapses = 300.27 |- Avg numPostSynapses = 300.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599389 |- Avg numPreSynapses = 299.69 |- Avg numPostSynapses = 299.69 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600099 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600572 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600117 |- Avg numPreSynapses = 300.06 |- Avg numPostSynapses = 300.06 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599775 |- Avg numPreSynapses = 299.89 |- Avg numPostSynapses = 299.89 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600106 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599108 |- Avg numPreSynapses = 299.55 |- Avg numPostSynapses = 299.55 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599961 |- Avg numPreSynapses = 299.98 |- Avg numPostSynapses = 299.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601509 |- Avg numPreSynapses = 300.75 |- Avg numPostSynapses = 300.75 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599935 |- Avg numPreSynapses = 299.97 |- Avg numPostSynapses = 299.97 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599550 |- Avg numPreSynapses = 299.77 |- Avg numPostSynapses = 299.77 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600466 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599723 |- Avg numPreSynapses = 299.86 |- Avg numPostSynapses = 299.86 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600565 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599562 |- Avg numPreSynapses = 299.78 |- Avg numPostSynapses = 299.78 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 2 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:30.863 00:00:30.862 00:00:30.863 | | runNetwork 00:00:30.863 00:03:36.740 00:03:05.877 00:03:36.740 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 25603403 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 185.88 sec Average Firing Rate: 2+ms delay = 10.342 Hz 1ms delay = inf Hz Overall = 20.297 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13238000 1ms delay = 13391765 Total = 26629765 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 800488 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:64000) |- End Id = (G:128099,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800488 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 800514 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:64100) |- End Id = (G:128199,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800514 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 800727 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:64200) |- End Id = (G:128299,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800727 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 800546 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:64300) |- End Id = (G:128399,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 800546 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 799785 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:64400) |- End Id = (G:128499,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 799785 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 800115 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:64500) |- End Id = (G:128599,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 800115 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 799686 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:64600) |- End Id = (G:128699,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 799686 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 801618 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:64700) |- End Id = (G:128799,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 801618 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 799710 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:64800) |- End Id = (G:128899,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 799710 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 800142 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:64900) |- End Id = (G:128999,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 800142 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 799139 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:65000) |- End Id = (G:129099,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 799139 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 799400 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:65100) |- End Id = (G:129199,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 799400 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 801529 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:65200) |- End Id = (G:129299,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 801529 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 799021 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:65300) |- End Id = (G:129399,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 799021 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 800042 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:65400) |- End Id = (G:129499,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 800042 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 799984 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:65500) |- End Id = (G:129599,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 799984 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800488 |- Avg numPreSynapses = 400.24 |- Avg numPostSynapses = 400.24 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800514 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800727 |- Avg numPreSynapses = 400.36 |- Avg numPostSynapses = 400.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800546 |- Avg numPreSynapses = 400.27 |- Avg numPostSynapses = 400.27 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799785 |- Avg numPreSynapses = 399.89 |- Avg numPostSynapses = 399.89 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800115 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799686 |- Avg numPreSynapses = 399.84 |- Avg numPostSynapses = 399.84 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801618 |- Avg numPreSynapses = 400.81 |- Avg numPostSynapses = 400.81 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799710 |- Avg numPreSynapses = 399.86 |- Avg numPostSynapses = 399.86 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800142 |- Avg numPreSynapses = 400.07 |- Avg numPostSynapses = 400.07 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799139 |- Avg numPreSynapses = 399.57 |- Avg numPostSynapses = 399.57 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799400 |- Avg numPreSynapses = 399.70 |- Avg numPostSynapses = 399.70 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801529 |- Avg numPreSynapses = 400.76 |- Avg numPostSynapses = 400.76 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799021 |- Avg numPreSynapses = 399.51 |- Avg numPostSynapses = 399.51 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800042 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799984 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 800361 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:64000) |- End Id = (G:129699,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800361 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 799976 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:64100) |- End Id = (G:129799,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799976 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 800127 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:64200) |- End Id = (G:129899,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800127 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 800492 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:64300) |- End Id = (G:129999,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 800492 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 799233 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:64400) |- End Id = (G:130099,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 799233 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 800226 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:64500) |- End Id = (G:130199,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 800226 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 800321 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:64600) |- End Id = (G:130299,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 800321 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 799244 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:64700) |- End Id = (G:130399,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 799244 |-+ Local Group exc1(G:72,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:32000) |- End Id = (G:97999,L:33999) |- numPostSynapses = 800166 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:64800) |- End Id = (G:130499,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:34000) |- End Id = (G:99999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 800166 |-+ Local Group exc1(G:75,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:36000) |- End Id = (G:101999,L:37999) |- numPostSynapses = 800738 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:64900) |- End Id = (G:130599,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:38000) |- End Id = (G:103999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 800738 |-+ Local Group exc1(G:78,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:40000) |- End Id = (G:105999,L:41999) |- numPostSynapses = 800032 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:65000) |- End Id = (G:130699,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:42000) |- End Id = (G:107999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 800032 |-+ Local Group exc1(G:81,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:44000) |- End Id = (G:109999,L:45999) |- numPostSynapses = 799972 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:65100) |- End Id = (G:130799,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:46000) |- End Id = (G:111999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 799972 |-+ Local Group exc1(G:84,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:48000) |- End Id = (G:113999,L:49999) |- numPostSynapses = 800516 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:65200) |- End Id = (G:130899,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:50000) |- End Id = (G:115999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 800516 |-+ Local Group exc1(G:87,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:52000) |- End Id = (G:117999,L:53999) |- numPostSynapses = 798495 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:65300) |- End Id = (G:130999,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:54000) |- End Id = (G:119999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 798495 |-+ Local Group exc1(G:90,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:56000) |- End Id = (G:121999,L:57999) |- numPostSynapses = 799737 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:65400) |- End Id = (G:131099,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:58000) |- End Id = (G:123999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 799737 |-+ Local Group exc1(G:93,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:60000) |- End Id = (G:125999,L:61999) |- numPostSynapses = 799207 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:65500) |- End Id = (G:131199,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:62000) |- End Id = (G:127999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 799207 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800361 |- Avg numPreSynapses = 400.18 |- Avg numPostSynapses = 400.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799976 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800127 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800492 |- Avg numPreSynapses = 400.25 |- Avg numPostSynapses = 400.25 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799233 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800226 |- Avg numPreSynapses = 400.11 |- Avg numPostSynapses = 400.11 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800321 |- Avg numPreSynapses = 400.16 |- Avg numPostSynapses = 400.16 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799244 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800166 |- Avg numPreSynapses = 400.08 |- Avg numPostSynapses = 400.08 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800738 |- Avg numPreSynapses = 400.37 |- Avg numPostSynapses = 400.37 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800032 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799972 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800516 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 798495 |- Avg numPreSynapses = 399.25 |- Avg numPostSynapses = 399.25 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799737 |- Avg numPreSynapses = 399.87 |- Avg numPostSynapses = 399.87 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799207 |- Avg numPreSynapses = 399.60 |- Avg numPostSynapses = 399.60 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 2 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:34.733 00:00:34.732 00:00:34.733 | | runNetwork 00:00:34.733 00:04:21.038 00:03:46.305 00:04:21.038 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 32001289 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 226.30 sec Average Firing Rate: 2+ms delay = 10.328 Hz 1ms delay = inf Hz Overall = 20.363 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13220000 1ms delay = 13496224 Total = 26716224 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1000601 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:64000) |- End Id = (G:128099,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000601 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1001516 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:64100) |- End Id = (G:128199,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1001516 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 1000561 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:64200) |- End Id = (G:128299,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000561 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:64300) |- End Id = (G:128399,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 999363 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:64400) |- End Id = (G:128499,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 999363 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 999729 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:64500) |- End Id = (G:128599,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 999729 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 1000610 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:64600) |- End Id = (G:128699,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1000610 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 1001773 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:64700) |- End Id = (G:128799,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1001773 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 999288 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:64800) |- End Id = (G:128899,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 999288 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:64900) |- End Id = (G:128999,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 999125 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:65000) |- End Id = (G:129099,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 999125 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 998917 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:65100) |- End Id = (G:129199,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 998917 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 1001770 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:65200) |- End Id = (G:129299,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 1001770 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 999456 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:65300) |- End Id = (G:129399,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 999456 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 1000204 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:65400) |- End Id = (G:129499,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 1000204 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 1000018 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:65500) |- End Id = (G:129599,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 1000018 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000601 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001516 |- Avg numPreSynapses = 500.76 |- Avg numPostSynapses = 500.76 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000561 |- Avg numPreSynapses = 500.28 |- Avg numPostSynapses = 500.28 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999363 |- Avg numPreSynapses = 499.68 |- Avg numPostSynapses = 499.68 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999729 |- Avg numPreSynapses = 499.86 |- Avg numPostSynapses = 499.86 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000610 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001773 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999288 |- Avg numPreSynapses = 499.64 |- Avg numPostSynapses = 499.64 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999125 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998917 |- Avg numPreSynapses = 499.46 |- Avg numPostSynapses = 499.46 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001770 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999456 |- Avg numPreSynapses = 499.73 |- Avg numPostSynapses = 499.73 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000204 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000018 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 1000437 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:64000) |- End Id = (G:129699,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000437 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 999987 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:64100) |- End Id = (G:129799,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999987 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 1000027 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:64200) |- End Id = (G:129899,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000027 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 1000310 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:64300) |- End Id = (G:129999,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1000310 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 998674 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:64400) |- End Id = (G:130099,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 998674 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 1000359 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:64500) |- End Id = (G:130199,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 1000359 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 1000863 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:64600) |- End Id = (G:130299,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1000863 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 999112 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:64700) |- End Id = (G:130399,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 999112 |-+ Local Group exc1(G:72,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:32000) |- End Id = (G:97999,L:33999) |- numPostSynapses = 999955 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:64800) |- End Id = (G:130499,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:34000) |- End Id = (G:99999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 999955 |-+ Local Group exc1(G:75,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:36000) |- End Id = (G:101999,L:37999) |- numPostSynapses = 1001033 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:64900) |- End Id = (G:130599,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:38000) |- End Id = (G:103999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 1001033 |-+ Local Group exc1(G:78,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:40000) |- End Id = (G:105999,L:41999) |- numPostSynapses = 1000652 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:65000) |- End Id = (G:130699,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:42000) |- End Id = (G:107999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 1000652 |-+ Local Group exc1(G:81,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:44000) |- End Id = (G:109999,L:45999) |- numPostSynapses = 1000352 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:65100) |- End Id = (G:130799,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:46000) |- End Id = (G:111999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 1000352 |-+ Local Group exc1(G:84,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:48000) |- End Id = (G:113999,L:49999) |- numPostSynapses = 1000752 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:65200) |- End Id = (G:130899,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:50000) |- End Id = (G:115999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 1000752 |-+ Local Group exc1(G:87,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:52000) |- End Id = (G:117999,L:53999) |- numPostSynapses = 998480 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:65300) |- End Id = (G:130999,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:54000) |- End Id = (G:119999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 998480 |-+ Local Group exc1(G:90,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:56000) |- End Id = (G:121999,L:57999) |- numPostSynapses = 1000202 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:65400) |- End Id = (G:131099,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:58000) |- End Id = (G:123999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 1000202 |-+ Local Group exc1(G:93,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:60000) |- End Id = (G:125999,L:61999) |- numPostSynapses = 999639 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:65500) |- End Id = (G:131199,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:62000) |- End Id = (G:127999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 999639 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000437 |- Avg numPreSynapses = 500.22 |- Avg numPostSynapses = 500.22 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999987 |- Avg numPreSynapses = 499.99 |- Avg numPostSynapses = 499.99 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000027 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000310 |- Avg numPreSynapses = 500.15 |- Avg numPostSynapses = 500.15 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998674 |- Avg numPreSynapses = 499.34 |- Avg numPostSynapses = 499.34 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000359 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000863 |- Avg numPreSynapses = 500.43 |- Avg numPostSynapses = 500.43 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999112 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999955 |- Avg numPreSynapses = 499.98 |- Avg numPostSynapses = 499.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001033 |- Avg numPreSynapses = 500.52 |- Avg numPostSynapses = 500.52 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000652 |- Avg numPreSynapses = 500.33 |- Avg numPostSynapses = 500.33 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000352 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000752 |- Avg numPreSynapses = 500.38 |- Avg numPostSynapses = 500.38 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998480 |- Avg numPreSynapses = 499.24 |- Avg numPostSynapses = 499.24 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000202 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999639 |- Avg numPreSynapses = 499.82 |- Avg numPostSynapses = 499.82 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 2 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:39.244 00:00:39.243 00:00:39.244 | | runNetwork 00:00:39.244 00:05:03.590 00:04:24.346 00:05:03.590 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 38403297 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 264.35 sec Average Firing Rate: 2+ms delay = 10.370 Hz 1ms delay = inf Hz Overall = 20.130 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13274000 1ms delay = 13136383 Total = 26410383 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1200708 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:64000) |- End Id = (G:128099,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200708 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1201329 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:64100) |- End Id = (G:128199,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1201329 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 1200484 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:64200) |- End Id = (G:128299,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200484 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 1199614 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:64300) |- End Id = (G:128399,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1199614 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 1199401 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:64400) |- End Id = (G:128499,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 1199401 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 1200370 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:64500) |- End Id = (G:128599,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 1200370 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 1199993 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:64600) |- End Id = (G:128699,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1199993 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 1201870 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:64700) |- End Id = (G:128799,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1201870 |-+ Local Group exc1(G:24,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:32000) |- End Id = (G:33999,L:33999) |- numPostSynapses = 1199542 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:64800) |- End Id = (G:128899,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:34000) |- End Id = (G:35999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 1199542 |-+ Local Group exc1(G:27,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:36000) |- End Id = (G:37999,L:37999) |- numPostSynapses = 1200119 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:64900) |- End Id = (G:128999,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:38000) |- End Id = (G:39999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 1200119 |-+ Local Group exc1(G:30,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:40000) |- End Id = (G:41999,L:41999) |- numPostSynapses = 1199399 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:65000) |- End Id = (G:129099,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:42000) |- End Id = (G:43999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 1199399 |-+ Local Group exc1(G:33,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:44000) |- End Id = (G:45999,L:45999) |- numPostSynapses = 1198565 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:65100) |- End Id = (G:129199,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:46000) |- End Id = (G:47999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 1198565 |-+ Local Group exc1(G:36,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:48000) |- End Id = (G:49999,L:49999) |- numPostSynapses = 1202097 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:65200) |- End Id = (G:129299,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:50000) |- End Id = (G:51999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 1202097 |-+ Local Group exc1(G:39,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:52000) |- End Id = (G:53999,L:53999) |- numPostSynapses = 1199707 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:65300) |- End Id = (G:129399,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:54000) |- End Id = (G:55999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 1199707 |-+ Local Group exc1(G:42,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:56000) |- End Id = (G:57999,L:57999) |- numPostSynapses = 1200457 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:65400) |- End Id = (G:129499,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:58000) |- End Id = (G:59999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 1200457 |-+ Local Group exc1(G:45,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:60000) |- End Id = (G:61999,L:61999) |- numPostSynapses = 1199626 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:65500) |- End Id = (G:129599,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:62000) |- End Id = (G:63999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 1199626 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200708 |- Avg numPreSynapses = 600.35 |- Avg numPostSynapses = 600.35 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201329 |- Avg numPreSynapses = 600.66 |- Avg numPostSynapses = 600.66 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200484 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199614 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199401 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200370 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199993 |- Avg numPreSynapses = 600.00 |- Avg numPostSynapses = 600.00 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201870 |- Avg numPreSynapses = 600.93 |- Avg numPostSynapses = 600.93 |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199542 |- Avg numPreSynapses = 599.77 |- Avg numPostSynapses = 599.77 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200119 |- Avg numPreSynapses = 600.06 |- Avg numPostSynapses = 600.06 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199399 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198565 |- Avg numPreSynapses = 599.28 |- Avg numPostSynapses = 599.28 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1202097 |- Avg numPreSynapses = 601.05 |- Avg numPostSynapses = 601.05 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199707 |- Avg numPreSynapses = 599.85 |- Avg numPostSynapses = 599.85 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200457 |- Avg numPreSynapses = 600.23 |- Avg numPostSynapses = 600.23 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199626 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 1200354 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:32): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:64000) |- End Id = (G:129699,L:64099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200354 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 1199297 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:33): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:64100) |- End Id = (G:129799,L:64199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199297 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 1200239 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:34): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:64200) |- End Id = (G:129899,L:64299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200239 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 1200224 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:35): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:64300) |- End Id = (G:129999,L:64399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1200224 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 1198456 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:36): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:64400) |- End Id = (G:130099,L:64499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 1198456 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 1200212 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:37): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:64500) |- End Id = (G:130199,L:64599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 1200212 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 1200751 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:38): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:64600) |- End Id = (G:130299,L:64699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1200751 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 1199644 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:39): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:64700) |- End Id = (G:130399,L:64799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1199644 |-+ Local Group exc1(G:72,L:16): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:32000) |- End Id = (G:97999,L:33999) |- numPostSynapses = 1200563 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:40): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:64800) |- End Id = (G:130499,L:64899) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:17): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:34000) |- End Id = (G:99999,L:35999) |- numPostSynapses = 0 |- numPreSynapses = 1200563 |-+ Local Group exc1(G:75,L:18): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:36000) |- End Id = (G:101999,L:37999) |- numPostSynapses = 1200570 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:41): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:64900) |- End Id = (G:130599,L:64999) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:19): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:38000) |- End Id = (G:103999,L:39999) |- numPostSynapses = 0 |- numPreSynapses = 1200570 |-+ Local Group exc1(G:78,L:20): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:40000) |- End Id = (G:105999,L:41999) |- numPostSynapses = 1200593 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:42): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:65000) |- End Id = (G:130699,L:65099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:21): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:42000) |- End Id = (G:107999,L:43999) |- numPostSynapses = 0 |- numPreSynapses = 1200593 |-+ Local Group exc1(G:81,L:22): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:44000) |- End Id = (G:109999,L:45999) |- numPostSynapses = 1200473 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:43): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:65100) |- End Id = (G:130799,L:65199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:23): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:46000) |- End Id = (G:111999,L:47999) |- numPostSynapses = 0 |- numPreSynapses = 1200473 |-+ Local Group exc1(G:84,L:24): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:48000) |- End Id = (G:113999,L:49999) |- numPostSynapses = 1199680 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:44): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:65200) |- End Id = (G:130899,L:65299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:25): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:50000) |- End Id = (G:115999,L:51999) |- numPostSynapses = 0 |- numPreSynapses = 1199680 |-+ Local Group exc1(G:87,L:26): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:52000) |- End Id = (G:117999,L:53999) |- numPostSynapses = 1198291 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:45): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:65300) |- End Id = (G:130999,L:65399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:27): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:54000) |- End Id = (G:119999,L:55999) |- numPostSynapses = 0 |- numPreSynapses = 1198291 |-+ Local Group exc1(G:90,L:28): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:56000) |- End Id = (G:121999,L:57999) |- numPostSynapses = 1199458 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:46): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:65400) |- End Id = (G:131099,L:65499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:29): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:58000) |- End Id = (G:123999,L:59999) |- numPostSynapses = 0 |- numPreSynapses = 1199458 |-+ Local Group exc1(G:93,L:30): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:60000) |- End Id = (G:125999,L:61999) |- numPostSynapses = 1199933 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:47): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:65500) |- End Id = (G:131199,L:65599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:31): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:62000) |- End Id = (G:127999,L:63999) |- numPostSynapses = 0 |- numPreSynapses = 1199933 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200354 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199297 |- Avg numPreSynapses = 599.65 |- Avg numPostSynapses = 599.65 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200239 |- Avg numPreSynapses = 600.12 |- Avg numPostSynapses = 600.12 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200224 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198456 |- Avg numPreSynapses = 599.23 |- Avg numPostSynapses = 599.23 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200212 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200751 |- Avg numPreSynapses = 600.38 |- Avg numPostSynapses = 600.38 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199644 |- Avg numPreSynapses = 599.82 |- Avg numPostSynapses = 599.82 |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200563 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200570 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200593 |- Avg numPreSynapses = 600.30 |- Avg numPostSynapses = 600.30 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200473 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199680 |- Avg numPreSynapses = 599.84 |- Avg numPostSynapses = 599.84 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198291 |- Avg numPreSynapses = 599.15 |- Avg numPostSynapses = 599.15 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199458 |- Avg numPreSynapses = 599.73 |- Avg numPostSynapses = 599.73 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199933 |- Avg numPreSynapses = 599.97 |- Avg numPostSynapses = 599.97 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 2 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:43.063 00:00:43.062 00:00:43.063 | | runNetwork 00:00:43.063 00:05:50.284 00:05:07.221 00:05:50.284 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 44802019 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 307.22 sec Average Firing Rate: 2+ms delay = 10.341 Hz 1ms delay = inf Hz Overall = 20.097 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13236000 1ms delay = 13131897 Total = 26367897 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 200053 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:32000) |- End Id = (G:128099,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200053 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 200593 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:32100) |- End Id = (G:128199,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200593 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 201031 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:32200) |- End Id = (G:128299,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 201031 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 200563 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:32300) |- End Id = (G:128399,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200563 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 200364 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:32400) |- End Id = (G:128499,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 200364 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 199843 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:32500) |- End Id = (G:128599,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 199843 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 200549 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:32600) |- End Id = (G:128699,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 200549 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 200124 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:32700) |- End Id = (G:128799,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 200124 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200053 |- Avg numPreSynapses = 100.03 |- Avg numPostSynapses = 100.03 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200593 |- Avg numPreSynapses = 100.30 |- Avg numPostSynapses = 100.30 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 201031 |- Avg numPreSynapses = 100.52 |- Avg numPostSynapses = 100.52 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200563 |- Avg numPreSynapses = 100.28 |- Avg numPostSynapses = 100.28 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200364 |- Avg numPreSynapses = 100.18 |- Avg numPostSynapses = 100.18 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199843 |- Avg numPreSynapses = 99.92 |- Avg numPostSynapses = 99.92 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200549 |- Avg numPreSynapses = 100.27 |- Avg numPostSynapses = 100.27 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200124 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 199443 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:32000) |- End Id = (G:128899,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 199443 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 199689 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:32100) |- End Id = (G:128999,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 199689 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 199536 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:32200) |- End Id = (G:129099,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 199536 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 200011 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:32300) |- End Id = (G:129199,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200011 |-+ Local Group exc1(G:36,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:16000) |- End Id = (G:49999,L:17999) |- numPostSynapses = 200789 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:32400) |- End Id = (G:129299,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:18000) |- End Id = (G:51999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 200789 |-+ Local Group exc1(G:39,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:20000) |- End Id = (G:53999,L:21999) |- numPostSynapses = 199523 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:32500) |- End Id = (G:129399,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:22000) |- End Id = (G:55999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 199523 |-+ Local Group exc1(G:42,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:24000) |- End Id = (G:57999,L:25999) |- numPostSynapses = 199461 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:32600) |- End Id = (G:129499,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:26000) |- End Id = (G:59999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 199461 |-+ Local Group exc1(G:45,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:28000) |- End Id = (G:61999,L:29999) |- numPostSynapses = 200578 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:32700) |- End Id = (G:129599,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:30000) |- End Id = (G:63999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 200578 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199443 |- Avg numPreSynapses = 99.72 |- Avg numPostSynapses = 99.72 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199689 |- Avg numPreSynapses = 99.84 |- Avg numPostSynapses = 99.84 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199536 |- Avg numPreSynapses = 99.77 |- Avg numPostSynapses = 99.77 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200011 |- Avg numPreSynapses = 100.01 |- Avg numPostSynapses = 100.01 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200789 |- Avg numPreSynapses = 100.39 |- Avg numPostSynapses = 100.39 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199523 |- Avg numPreSynapses = 99.76 |- Avg numPostSynapses = 99.76 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199461 |- Avg numPreSynapses = 99.73 |- Avg numPostSynapses = 99.73 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200578 |- Avg numPreSynapses = 100.29 |- Avg numPostSynapses = 100.29 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:32000) |- End Id = (G:129699,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 200235 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:32100) |- End Id = (G:129799,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200235 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:32200) |- End Id = (G:129899,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 200513 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:32300) |- End Id = (G:129999,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200513 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 199756 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:32400) |- End Id = (G:130099,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 199756 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 200093 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:32500) |- End Id = (G:130199,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 200093 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 199187 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:32600) |- End Id = (G:130299,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 199187 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 200005 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:32700) |- End Id = (G:130399,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 200005 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200235 |- Avg numPreSynapses = 100.12 |- Avg numPostSynapses = 100.12 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200513 |- Avg numPreSynapses = 100.26 |- Avg numPostSynapses = 100.26 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199756 |- Avg numPreSynapses = 99.88 |- Avg numPostSynapses = 99.88 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200093 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199187 |- Avg numPreSynapses = 99.59 |- Avg numPostSynapses = 99.59 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200005 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 100.00 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 200094 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:32000) |- End Id = (G:130499,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200094 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 200307 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:32100) |- End Id = (G:130599,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200307 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 200275 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:32200) |- End Id = (G:130699,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 200275 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 200437 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:32300) |- End Id = (G:130799,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200437 |-+ Local Group exc1(G:84,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:16000) |- End Id = (G:113999,L:17999) |- numPostSynapses = 200630 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:32400) |- End Id = (G:130899,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:18000) |- End Id = (G:115999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 200630 |-+ Local Group exc1(G:87,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:20000) |- End Id = (G:117999,L:21999) |- numPostSynapses = 200303 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:32500) |- End Id = (G:130999,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:22000) |- End Id = (G:119999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 200303 |-+ Local Group exc1(G:90,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:24000) |- End Id = (G:121999,L:25999) |- numPostSynapses = 199882 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:32600) |- End Id = (G:131099,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:26000) |- End Id = (G:123999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 199882 |-+ Local Group exc1(G:93,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:28000) |- End Id = (G:125999,L:29999) |- numPostSynapses = 199731 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:32700) |- End Id = (G:131199,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:30000) |- End Id = (G:127999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 199731 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200094 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200307 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200275 |- Avg numPreSynapses = 100.14 |- Avg numPostSynapses = 100.14 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200437 |- Avg numPreSynapses = 100.22 |- Avg numPostSynapses = 100.22 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200630 |- Avg numPreSynapses = 100.32 |- Avg numPostSynapses = 100.32 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200303 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199882 |- Avg numPreSynapses = 99.94 |- Avg numPostSynapses = 99.94 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199731 |- Avg numPreSynapses = 99.87 |- Avg numPostSynapses = 99.87 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 4 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:22.706 00:00:22.705 00:00:22.706 | | runNetwork 00:00:22.706 00:01:50.416 00:01:27.710 00:01:50.416 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 12803826 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 87.71 sec Average Firing Rate: 2+ms delay = 10.392 Hz 1ms delay = inf Hz Overall = 20.337 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13302000 1ms delay = 13379892 Total = 26681892 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 399690 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:32000) |- End Id = (G:128099,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399690 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 400408 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:32100) |- End Id = (G:128199,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400408 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 400958 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:32200) |- End Id = (G:128299,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 400958 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 400446 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:32300) |- End Id = (G:128399,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 400446 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 399761 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:32400) |- End Id = (G:128499,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 399761 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 399777 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:32500) |- End Id = (G:128599,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 399777 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 400420 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:32600) |- End Id = (G:128699,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 400420 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 400298 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:32700) |- End Id = (G:128799,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 400298 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399690 |- Avg numPreSynapses = 199.85 |- Avg numPostSynapses = 199.85 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400408 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400958 |- Avg numPreSynapses = 200.48 |- Avg numPostSynapses = 200.48 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400446 |- Avg numPreSynapses = 200.22 |- Avg numPostSynapses = 200.22 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399761 |- Avg numPreSynapses = 199.88 |- Avg numPostSynapses = 199.88 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399777 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400420 |- Avg numPreSynapses = 200.21 |- Avg numPostSynapses = 200.21 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400298 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 399371 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:32000) |- End Id = (G:128899,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399371 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 400272 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:32100) |- End Id = (G:128999,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400272 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 399108 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:32200) |- End Id = (G:129099,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 399108 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 399571 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:32300) |- End Id = (G:129199,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 399571 |-+ Local Group exc1(G:36,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:16000) |- End Id = (G:49999,L:17999) |- numPostSynapses = 400704 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:32400) |- End Id = (G:129299,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:18000) |- End Id = (G:51999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 400704 |-+ Local Group exc1(G:39,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:20000) |- End Id = (G:53999,L:21999) |- numPostSynapses = 400068 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:32500) |- End Id = (G:129399,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:22000) |- End Id = (G:55999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 400068 |-+ Local Group exc1(G:42,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:24000) |- End Id = (G:57999,L:25999) |- numPostSynapses = 400133 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:32600) |- End Id = (G:129499,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:26000) |- End Id = (G:59999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 400133 |-+ Local Group exc1(G:45,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:28000) |- End Id = (G:61999,L:29999) |- numPostSynapses = 400479 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:32700) |- End Id = (G:129599,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:30000) |- End Id = (G:63999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 400479 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399371 |- Avg numPreSynapses = 199.69 |- Avg numPostSynapses = 199.69 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400272 |- Avg numPreSynapses = 200.14 |- Avg numPostSynapses = 200.14 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399108 |- Avg numPreSynapses = 199.55 |- Avg numPostSynapses = 199.55 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399571 |- Avg numPreSynapses = 199.79 |- Avg numPostSynapses = 199.79 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400704 |- Avg numPreSynapses = 200.35 |- Avg numPostSynapses = 200.35 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400068 |- Avg numPreSynapses = 200.03 |- Avg numPostSynapses = 200.03 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400133 |- Avg numPreSynapses = 200.07 |- Avg numPostSynapses = 200.07 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400479 |- Avg numPreSynapses = 200.24 |- Avg numPostSynapses = 200.24 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 400539 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:32000) |- End Id = (G:129699,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400539 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 399893 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:32100) |- End Id = (G:129799,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399893 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 399361 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:32200) |- End Id = (G:129899,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 399361 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 399994 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:32300) |- End Id = (G:129999,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 399994 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 399830 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:32400) |- End Id = (G:130099,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 399830 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 399724 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:32500) |- End Id = (G:130199,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 399724 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 399880 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:32600) |- End Id = (G:130299,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 399880 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 399018 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:32700) |- End Id = (G:130399,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 399018 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400539 |- Avg numPreSynapses = 200.27 |- Avg numPostSynapses = 200.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399893 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399361 |- Avg numPreSynapses = 199.68 |- Avg numPostSynapses = 199.68 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399994 |- Avg numPreSynapses = 200.00 |- Avg numPostSynapses = 200.00 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399830 |- Avg numPreSynapses = 199.91 |- Avg numPostSynapses = 199.91 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399724 |- Avg numPreSynapses = 199.86 |- Avg numPostSynapses = 199.86 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399880 |- Avg numPreSynapses = 199.94 |- Avg numPostSynapses = 199.94 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399018 |- Avg numPreSynapses = 199.51 |- Avg numPostSynapses = 199.51 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 399537 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:32000) |- End Id = (G:130499,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399537 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 401152 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:32100) |- End Id = (G:130599,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 401152 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 399781 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:32200) |- End Id = (G:130699,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 399781 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 400405 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:32300) |- End Id = (G:130799,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 400405 |-+ Local Group exc1(G:84,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:16000) |- End Id = (G:113999,L:17999) |- numPostSynapses = 400678 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:32400) |- End Id = (G:130899,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:18000) |- End Id = (G:115999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 400678 |-+ Local Group exc1(G:87,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:20000) |- End Id = (G:117999,L:21999) |- numPostSynapses = 400177 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:32500) |- End Id = (G:130999,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:22000) |- End Id = (G:119999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 400177 |-+ Local Group exc1(G:90,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:24000) |- End Id = (G:121999,L:25999) |- numPostSynapses = 400306 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:32600) |- End Id = (G:131099,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:26000) |- End Id = (G:123999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 400306 |-+ Local Group exc1(G:93,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:28000) |- End Id = (G:125999,L:29999) |- numPostSynapses = 399901 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:32700) |- End Id = (G:131199,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:30000) |- End Id = (G:127999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 399901 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399537 |- Avg numPreSynapses = 199.77 |- Avg numPostSynapses = 199.77 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 401152 |- Avg numPreSynapses = 200.58 |- Avg numPostSynapses = 200.58 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399781 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400405 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400678 |- Avg numPreSynapses = 200.34 |- Avg numPostSynapses = 200.34 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400177 |- Avg numPreSynapses = 200.09 |- Avg numPostSynapses = 200.09 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400306 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399901 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 4 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:26.340 00:00:26.339 00:00:26.340 | | runNetwork 00:00:26.340 00:02:31.340 00:02:05.000 00:02:31.340 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 19201640 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 125.00 sec Average Firing Rate: 2+ms delay = 10.406 Hz 1ms delay = inf Hz Overall = 20.194 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13320000 1ms delay = 13174178 Total = 26494178 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 600521 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:32000) |- End Id = (G:128099,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600521 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 600560 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:32100) |- End Id = (G:128199,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600560 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 600711 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:32200) |- End Id = (G:128299,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600711 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 600387 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:32300) |- End Id = (G:128399,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 600387 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 599855 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:32400) |- End Id = (G:128499,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 599855 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 600448 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:32500) |- End Id = (G:128599,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 600448 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 599985 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:32600) |- End Id = (G:128699,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 599985 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 600580 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:32700) |- End Id = (G:128799,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 600580 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600521 |- Avg numPreSynapses = 300.26 |- Avg numPostSynapses = 300.26 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600560 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600711 |- Avg numPreSynapses = 300.36 |- Avg numPostSynapses = 300.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600387 |- Avg numPreSynapses = 300.19 |- Avg numPostSynapses = 300.19 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599855 |- Avg numPreSynapses = 299.93 |- Avg numPostSynapses = 299.93 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600448 |- Avg numPreSynapses = 300.22 |- Avg numPostSynapses = 300.22 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599985 |- Avg numPreSynapses = 299.99 |- Avg numPostSynapses = 299.99 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600580 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 599147 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:32000) |- End Id = (G:128899,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599147 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 600273 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:32100) |- End Id = (G:128999,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600273 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 598879 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:32200) |- End Id = (G:129099,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 598879 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 599524 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:32300) |- End Id = (G:129199,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 599524 |-+ Local Group exc1(G:36,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:16000) |- End Id = (G:49999,L:17999) |- numPostSynapses = 601057 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:32400) |- End Id = (G:129299,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:18000) |- End Id = (G:51999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 601057 |-+ Local Group exc1(G:39,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:20000) |- End Id = (G:53999,L:21999) |- numPostSynapses = 599883 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:32500) |- End Id = (G:129399,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:22000) |- End Id = (G:55999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 599883 |-+ Local Group exc1(G:42,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:24000) |- End Id = (G:57999,L:25999) |- numPostSynapses = 600171 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:32600) |- End Id = (G:129499,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:26000) |- End Id = (G:59999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 600171 |-+ Local Group exc1(G:45,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:28000) |- End Id = (G:61999,L:29999) |- numPostSynapses = 600450 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:32700) |- End Id = (G:129599,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:30000) |- End Id = (G:63999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 600450 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599147 |- Avg numPreSynapses = 299.57 |- Avg numPostSynapses = 299.57 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600273 |- Avg numPreSynapses = 300.14 |- Avg numPostSynapses = 300.14 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 598879 |- Avg numPreSynapses = 299.44 |- Avg numPostSynapses = 299.44 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599524 |- Avg numPreSynapses = 299.76 |- Avg numPostSynapses = 299.76 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601057 |- Avg numPreSynapses = 300.53 |- Avg numPostSynapses = 300.53 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599883 |- Avg numPreSynapses = 299.94 |- Avg numPostSynapses = 299.94 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600171 |- Avg numPreSynapses = 300.09 |- Avg numPostSynapses = 300.09 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600450 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 600535 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:32000) |- End Id = (G:129699,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600535 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 599389 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:32100) |- End Id = (G:129799,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599389 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 600099 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:32200) |- End Id = (G:129899,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600099 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 600572 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:32300) |- End Id = (G:129999,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 600572 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 600117 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:32400) |- End Id = (G:130099,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 600117 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 599775 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:32500) |- End Id = (G:130199,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 599775 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 600106 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:32600) |- End Id = (G:130299,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 600106 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 599108 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:32700) |- End Id = (G:130399,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 599108 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600535 |- Avg numPreSynapses = 300.27 |- Avg numPostSynapses = 300.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599389 |- Avg numPreSynapses = 299.69 |- Avg numPostSynapses = 299.69 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600099 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600572 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600117 |- Avg numPreSynapses = 300.06 |- Avg numPostSynapses = 300.06 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599775 |- Avg numPreSynapses = 299.89 |- Avg numPostSynapses = 299.89 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600106 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599108 |- Avg numPreSynapses = 299.55 |- Avg numPostSynapses = 299.55 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 599961 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:32000) |- End Id = (G:130499,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599961 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 601509 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:32100) |- End Id = (G:130599,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 601509 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 599935 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:32200) |- End Id = (G:130699,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 599935 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 599550 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:32300) |- End Id = (G:130799,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 599550 |-+ Local Group exc1(G:84,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:16000) |- End Id = (G:113999,L:17999) |- numPostSynapses = 600466 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:32400) |- End Id = (G:130899,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:18000) |- End Id = (G:115999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 600466 |-+ Local Group exc1(G:87,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:20000) |- End Id = (G:117999,L:21999) |- numPostSynapses = 599723 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:32500) |- End Id = (G:130999,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:22000) |- End Id = (G:119999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 599723 |-+ Local Group exc1(G:90,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:24000) |- End Id = (G:121999,L:25999) |- numPostSynapses = 600565 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:32600) |- End Id = (G:131099,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:26000) |- End Id = (G:123999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 600565 |-+ Local Group exc1(G:93,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:28000) |- End Id = (G:125999,L:29999) |- numPostSynapses = 599562 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:32700) |- End Id = (G:131199,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:30000) |- End Id = (G:127999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 599562 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599961 |- Avg numPreSynapses = 299.98 |- Avg numPostSynapses = 299.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601509 |- Avg numPreSynapses = 300.75 |- Avg numPostSynapses = 300.75 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599935 |- Avg numPreSynapses = 299.97 |- Avg numPostSynapses = 299.97 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599550 |- Avg numPreSynapses = 299.77 |- Avg numPostSynapses = 299.77 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600466 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599723 |- Avg numPreSynapses = 299.86 |- Avg numPostSynapses = 299.86 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600565 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599562 |- Avg numPreSynapses = 299.78 |- Avg numPostSynapses = 299.78 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 4 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:30.200 00:00:30.199 00:00:30.200 | | runNetwork 00:00:30.200 00:03:10.902 00:02:40.702 00:03:10.902 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 25603403 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 160.70 sec Average Firing Rate: 2+ms delay = 10.344 Hz 1ms delay = inf Hz Overall = 20.298 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13240000 1ms delay = 13391504 Total = 26631504 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 800488 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:32000) |- End Id = (G:128099,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800488 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 800514 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:32100) |- End Id = (G:128199,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800514 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 800727 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:32200) |- End Id = (G:128299,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800727 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 800546 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:32300) |- End Id = (G:128399,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 800546 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 799785 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:32400) |- End Id = (G:128499,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 799785 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 800115 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:32500) |- End Id = (G:128599,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 800115 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 799686 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:32600) |- End Id = (G:128699,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 799686 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 801618 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:32700) |- End Id = (G:128799,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 801618 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800488 |- Avg numPreSynapses = 400.24 |- Avg numPostSynapses = 400.24 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800514 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800727 |- Avg numPreSynapses = 400.36 |- Avg numPostSynapses = 400.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800546 |- Avg numPreSynapses = 400.27 |- Avg numPostSynapses = 400.27 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799785 |- Avg numPreSynapses = 399.89 |- Avg numPostSynapses = 399.89 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800115 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799686 |- Avg numPreSynapses = 399.84 |- Avg numPostSynapses = 399.84 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801618 |- Avg numPreSynapses = 400.81 |- Avg numPostSynapses = 400.81 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 799710 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:32000) |- End Id = (G:128899,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799710 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 800142 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:32100) |- End Id = (G:128999,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800142 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 799139 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:32200) |- End Id = (G:129099,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 799139 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 799400 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:32300) |- End Id = (G:129199,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 799400 |-+ Local Group exc1(G:36,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:16000) |- End Id = (G:49999,L:17999) |- numPostSynapses = 801529 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:32400) |- End Id = (G:129299,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:18000) |- End Id = (G:51999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 801529 |-+ Local Group exc1(G:39,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:20000) |- End Id = (G:53999,L:21999) |- numPostSynapses = 799021 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:32500) |- End Id = (G:129399,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:22000) |- End Id = (G:55999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 799021 |-+ Local Group exc1(G:42,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:24000) |- End Id = (G:57999,L:25999) |- numPostSynapses = 800042 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:32600) |- End Id = (G:129499,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:26000) |- End Id = (G:59999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 800042 |-+ Local Group exc1(G:45,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:28000) |- End Id = (G:61999,L:29999) |- numPostSynapses = 799984 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:32700) |- End Id = (G:129599,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:30000) |- End Id = (G:63999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 799984 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799710 |- Avg numPreSynapses = 399.86 |- Avg numPostSynapses = 399.86 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800142 |- Avg numPreSynapses = 400.07 |- Avg numPostSynapses = 400.07 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799139 |- Avg numPreSynapses = 399.57 |- Avg numPostSynapses = 399.57 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799400 |- Avg numPreSynapses = 399.70 |- Avg numPostSynapses = 399.70 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801529 |- Avg numPreSynapses = 400.76 |- Avg numPostSynapses = 400.76 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799021 |- Avg numPreSynapses = 399.51 |- Avg numPostSynapses = 399.51 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800042 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799984 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 800361 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:32000) |- End Id = (G:129699,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800361 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 799976 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:32100) |- End Id = (G:129799,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799976 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 800127 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:32200) |- End Id = (G:129899,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800127 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 800492 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:32300) |- End Id = (G:129999,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 800492 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 799233 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:32400) |- End Id = (G:130099,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 799233 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 800226 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:32500) |- End Id = (G:130199,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 800226 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 800321 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:32600) |- End Id = (G:130299,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 800321 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 799244 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:32700) |- End Id = (G:130399,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 799244 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800361 |- Avg numPreSynapses = 400.18 |- Avg numPostSynapses = 400.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799976 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800127 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800492 |- Avg numPreSynapses = 400.25 |- Avg numPostSynapses = 400.25 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799233 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800226 |- Avg numPreSynapses = 400.11 |- Avg numPostSynapses = 400.11 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800321 |- Avg numPreSynapses = 400.16 |- Avg numPostSynapses = 400.16 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799244 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 800166 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:32000) |- End Id = (G:130499,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800166 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 800738 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:32100) |- End Id = (G:130599,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800738 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 800032 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:32200) |- End Id = (G:130699,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800032 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 799972 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:32300) |- End Id = (G:130799,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 799972 |-+ Local Group exc1(G:84,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:16000) |- End Id = (G:113999,L:17999) |- numPostSynapses = 800516 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:32400) |- End Id = (G:130899,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:18000) |- End Id = (G:115999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 800516 |-+ Local Group exc1(G:87,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:20000) |- End Id = (G:117999,L:21999) |- numPostSynapses = 798495 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:32500) |- End Id = (G:130999,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:22000) |- End Id = (G:119999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 798495 |-+ Local Group exc1(G:90,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:24000) |- End Id = (G:121999,L:25999) |- numPostSynapses = 799737 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:32600) |- End Id = (G:131099,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:26000) |- End Id = (G:123999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 799737 |-+ Local Group exc1(G:93,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:28000) |- End Id = (G:125999,L:29999) |- numPostSynapses = 799207 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:32700) |- End Id = (G:131199,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:30000) |- End Id = (G:127999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 799207 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800166 |- Avg numPreSynapses = 400.08 |- Avg numPostSynapses = 400.08 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800738 |- Avg numPreSynapses = 400.37 |- Avg numPostSynapses = 400.37 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800032 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799972 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800516 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 798495 |- Avg numPreSynapses = 399.25 |- Avg numPostSynapses = 399.25 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799737 |- Avg numPreSynapses = 399.87 |- Avg numPostSynapses = 399.87 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799207 |- Avg numPreSynapses = 399.60 |- Avg numPostSynapses = 399.60 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 4 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:33.769 00:00:33.768 00:00:33.769 | | runNetwork 00:00:33.769 00:03:58.764 00:03:24.995 00:03:58.764 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 32001289 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 204.99 sec Average Firing Rate: 2+ms delay = 10.402 Hz 1ms delay = inf Hz Overall = 20.518 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13314000 1ms delay = 13606023 Total = 26920023 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1000601 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:32000) |- End Id = (G:128099,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000601 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1001516 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:32100) |- End Id = (G:128199,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1001516 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 1000561 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:32200) |- End Id = (G:128299,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000561 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:32300) |- End Id = (G:128399,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 999363 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:32400) |- End Id = (G:128499,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 999363 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 999729 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:32500) |- End Id = (G:128599,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 999729 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 1000610 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:32600) |- End Id = (G:128699,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1000610 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 1001773 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:32700) |- End Id = (G:128799,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1001773 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000601 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001516 |- Avg numPreSynapses = 500.76 |- Avg numPostSynapses = 500.76 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000561 |- Avg numPreSynapses = 500.28 |- Avg numPostSynapses = 500.28 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999363 |- Avg numPreSynapses = 499.68 |- Avg numPostSynapses = 499.68 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999729 |- Avg numPreSynapses = 499.86 |- Avg numPostSynapses = 499.86 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000610 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001773 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 999288 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:32000) |- End Id = (G:128899,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 999288 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:32100) |- End Id = (G:128999,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 999125 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:32200) |- End Id = (G:129099,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 999125 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 998917 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:32300) |- End Id = (G:129199,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 998917 |-+ Local Group exc1(G:36,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:16000) |- End Id = (G:49999,L:17999) |- numPostSynapses = 1001770 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:32400) |- End Id = (G:129299,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:18000) |- End Id = (G:51999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 1001770 |-+ Local Group exc1(G:39,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:20000) |- End Id = (G:53999,L:21999) |- numPostSynapses = 999456 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:32500) |- End Id = (G:129399,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:22000) |- End Id = (G:55999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 999456 |-+ Local Group exc1(G:42,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:24000) |- End Id = (G:57999,L:25999) |- numPostSynapses = 1000204 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:32600) |- End Id = (G:129499,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:26000) |- End Id = (G:59999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1000204 |-+ Local Group exc1(G:45,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:28000) |- End Id = (G:61999,L:29999) |- numPostSynapses = 1000018 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:32700) |- End Id = (G:129599,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:30000) |- End Id = (G:63999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1000018 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999288 |- Avg numPreSynapses = 499.64 |- Avg numPostSynapses = 499.64 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999125 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998917 |- Avg numPreSynapses = 499.46 |- Avg numPostSynapses = 499.46 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001770 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999456 |- Avg numPreSynapses = 499.73 |- Avg numPostSynapses = 499.73 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000204 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000018 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 1000437 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:32000) |- End Id = (G:129699,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000437 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 999987 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:32100) |- End Id = (G:129799,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999987 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 1000027 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:32200) |- End Id = (G:129899,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000027 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 1000310 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:32300) |- End Id = (G:129999,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1000310 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 998674 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:32400) |- End Id = (G:130099,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 998674 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 1000359 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:32500) |- End Id = (G:130199,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 1000359 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 1000863 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:32600) |- End Id = (G:130299,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1000863 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 999112 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:32700) |- End Id = (G:130399,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 999112 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000437 |- Avg numPreSynapses = 500.22 |- Avg numPostSynapses = 500.22 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999987 |- Avg numPreSynapses = 499.99 |- Avg numPostSynapses = 499.99 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000027 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000310 |- Avg numPreSynapses = 500.15 |- Avg numPostSynapses = 500.15 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998674 |- Avg numPreSynapses = 499.34 |- Avg numPostSynapses = 499.34 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000359 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000863 |- Avg numPreSynapses = 500.43 |- Avg numPostSynapses = 500.43 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999112 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 999955 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:32000) |- End Id = (G:130499,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 999955 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 1001033 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:32100) |- End Id = (G:130599,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1001033 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 1000652 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:32200) |- End Id = (G:130699,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000652 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 1000352 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:32300) |- End Id = (G:130799,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1000352 |-+ Local Group exc1(G:84,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:16000) |- End Id = (G:113999,L:17999) |- numPostSynapses = 1000752 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:32400) |- End Id = (G:130899,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:18000) |- End Id = (G:115999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 1000752 |-+ Local Group exc1(G:87,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:20000) |- End Id = (G:117999,L:21999) |- numPostSynapses = 998480 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:32500) |- End Id = (G:130999,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:22000) |- End Id = (G:119999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 998480 |-+ Local Group exc1(G:90,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:24000) |- End Id = (G:121999,L:25999) |- numPostSynapses = 1000202 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:32600) |- End Id = (G:131099,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:26000) |- End Id = (G:123999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1000202 |-+ Local Group exc1(G:93,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:28000) |- End Id = (G:125999,L:29999) |- numPostSynapses = 999639 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:32700) |- End Id = (G:131199,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:30000) |- End Id = (G:127999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 999639 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999955 |- Avg numPreSynapses = 499.98 |- Avg numPostSynapses = 499.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001033 |- Avg numPreSynapses = 500.52 |- Avg numPostSynapses = 500.52 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000652 |- Avg numPreSynapses = 500.33 |- Avg numPostSynapses = 500.33 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000352 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000752 |- Avg numPreSynapses = 500.38 |- Avg numPostSynapses = 500.38 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998480 |- Avg numPreSynapses = 499.24 |- Avg numPostSynapses = 499.24 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000202 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999639 |- Avg numPreSynapses = 499.82 |- Avg numPostSynapses = 499.82 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 4 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:37.779 00:00:37.778 00:00:37.779 | | runNetwork 00:00:37.779 00:04:41.445 00:04:03.666 00:04:41.445 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 38403297 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 243.67 sec Average Firing Rate: 2+ms delay = 10.475 Hz 1ms delay = inf Hz Overall = 20.276 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13408000 1ms delay = 13194617 Total = 26602617 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1200708 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:32000) |- End Id = (G:128099,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200708 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1201329 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:32100) |- End Id = (G:128199,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1201329 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 1200484 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:32200) |- End Id = (G:128299,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200484 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 1199614 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:32300) |- End Id = (G:128399,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1199614 |-+ Local Group exc1(G:12,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:16000) |- End Id = (G:17999,L:17999) |- numPostSynapses = 1199401 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:32400) |- End Id = (G:128499,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:18000) |- End Id = (G:19999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 1199401 |-+ Local Group exc1(G:15,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:20000) |- End Id = (G:21999,L:21999) |- numPostSynapses = 1200370 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:32500) |- End Id = (G:128599,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:22000) |- End Id = (G:23999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 1200370 |-+ Local Group exc1(G:18,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:24000) |- End Id = (G:25999,L:25999) |- numPostSynapses = 1199993 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:32600) |- End Id = (G:128699,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:26000) |- End Id = (G:27999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1199993 |-+ Local Group exc1(G:21,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:28000) |- End Id = (G:29999,L:29999) |- numPostSynapses = 1201870 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:32700) |- End Id = (G:128799,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:30000) |- End Id = (G:31999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1201870 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200708 |- Avg numPreSynapses = 600.35 |- Avg numPostSynapses = 600.35 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201329 |- Avg numPreSynapses = 600.66 |- Avg numPostSynapses = 600.66 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200484 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199614 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199401 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200370 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199993 |- Avg numPreSynapses = 600.00 |- Avg numPostSynapses = 600.00 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201870 |- Avg numPreSynapses = 600.93 |- Avg numPostSynapses = 600.93 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 1199542 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:32000) |- End Id = (G:128899,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199542 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 1200119 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:32100) |- End Id = (G:128999,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200119 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 1199399 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:32200) |- End Id = (G:129099,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1199399 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 1198565 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:32300) |- End Id = (G:129199,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1198565 |-+ Local Group exc1(G:36,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:16000) |- End Id = (G:49999,L:17999) |- numPostSynapses = 1202097 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:32400) |- End Id = (G:129299,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:18000) |- End Id = (G:51999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 1202097 |-+ Local Group exc1(G:39,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:20000) |- End Id = (G:53999,L:21999) |- numPostSynapses = 1199707 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:32500) |- End Id = (G:129399,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:22000) |- End Id = (G:55999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 1199707 |-+ Local Group exc1(G:42,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:24000) |- End Id = (G:57999,L:25999) |- numPostSynapses = 1200457 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:32600) |- End Id = (G:129499,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:26000) |- End Id = (G:59999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1200457 |-+ Local Group exc1(G:45,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:28000) |- End Id = (G:61999,L:29999) |- numPostSynapses = 1199626 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:32700) |- End Id = (G:129599,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:30000) |- End Id = (G:63999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1199626 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199542 |- Avg numPreSynapses = 599.77 |- Avg numPostSynapses = 599.77 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200119 |- Avg numPreSynapses = 600.06 |- Avg numPostSynapses = 600.06 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199399 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198565 |- Avg numPreSynapses = 599.28 |- Avg numPostSynapses = 599.28 |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1202097 |- Avg numPreSynapses = 601.05 |- Avg numPostSynapses = 601.05 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199707 |- Avg numPreSynapses = 599.85 |- Avg numPostSynapses = 599.85 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200457 |- Avg numPreSynapses = 600.23 |- Avg numPostSynapses = 600.23 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199626 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 1200354 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:32000) |- End Id = (G:129699,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200354 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 1199297 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:32100) |- End Id = (G:129799,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199297 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 1200239 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:32200) |- End Id = (G:129899,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200239 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 1200224 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:32300) |- End Id = (G:129999,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1200224 |-+ Local Group exc1(G:60,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:16000) |- End Id = (G:81999,L:17999) |- numPostSynapses = 1198456 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:32400) |- End Id = (G:130099,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:18000) |- End Id = (G:83999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 1198456 |-+ Local Group exc1(G:63,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:20000) |- End Id = (G:85999,L:21999) |- numPostSynapses = 1200212 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:32500) |- End Id = (G:130199,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:22000) |- End Id = (G:87999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 1200212 |-+ Local Group exc1(G:66,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:24000) |- End Id = (G:89999,L:25999) |- numPostSynapses = 1200751 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:32600) |- End Id = (G:130299,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:26000) |- End Id = (G:91999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1200751 |-+ Local Group exc1(G:69,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:28000) |- End Id = (G:93999,L:29999) |- numPostSynapses = 1199644 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:32700) |- End Id = (G:130399,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:30000) |- End Id = (G:95999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1199644 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200354 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199297 |- Avg numPreSynapses = 599.65 |- Avg numPostSynapses = 599.65 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200239 |- Avg numPreSynapses = 600.12 |- Avg numPostSynapses = 600.12 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200224 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198456 |- Avg numPreSynapses = 599.23 |- Avg numPostSynapses = 599.23 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200212 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200751 |- Avg numPreSynapses = 600.38 |- Avg numPostSynapses = 600.38 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199644 |- Avg numPreSynapses = 599.82 |- Avg numPostSynapses = 599.82 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 1200563 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:16): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:32000) |- End Id = (G:130499,L:32099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200563 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 1200570 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:17): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:32100) |- End Id = (G:130599,L:32199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200570 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 1200593 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:18): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:32200) |- End Id = (G:130699,L:32299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200593 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 1200473 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:19): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:32300) |- End Id = (G:130799,L:32399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1200473 |-+ Local Group exc1(G:84,L:8): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:16000) |- End Id = (G:113999,L:17999) |- numPostSynapses = 1199680 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:20): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:32400) |- End Id = (G:130899,L:32499) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:9): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:18000) |- End Id = (G:115999,L:19999) |- numPostSynapses = 0 |- numPreSynapses = 1199680 |-+ Local Group exc1(G:87,L:10): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:20000) |- End Id = (G:117999,L:21999) |- numPostSynapses = 1198291 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:21): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:32500) |- End Id = (G:130999,L:32599) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:11): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:22000) |- End Id = (G:119999,L:23999) |- numPostSynapses = 0 |- numPreSynapses = 1198291 |-+ Local Group exc1(G:90,L:12): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:24000) |- End Id = (G:121999,L:25999) |- numPostSynapses = 1199458 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:22): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:32600) |- End Id = (G:131099,L:32699) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:13): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:26000) |- End Id = (G:123999,L:27999) |- numPostSynapses = 0 |- numPreSynapses = 1199458 |-+ Local Group exc1(G:93,L:14): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:28000) |- End Id = (G:125999,L:29999) |- numPostSynapses = 1199933 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:23): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:32700) |- End Id = (G:131199,L:32799) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:15): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:30000) |- End Id = (G:127999,L:31999) |- numPostSynapses = 0 |- numPreSynapses = 1199933 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200563 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200570 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200593 |- Avg numPreSynapses = 600.30 |- Avg numPostSynapses = 600.30 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200473 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199680 |- Avg numPreSynapses = 599.84 |- Avg numPostSynapses = 599.84 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198291 |- Avg numPreSynapses = 599.15 |- Avg numPostSynapses = 599.15 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199458 |- Avg numPreSynapses = 599.73 |- Avg numPostSynapses = 599.73 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199933 |- Avg numPreSynapses = 599.97 |- Avg numPostSynapses = 599.97 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 4 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:42.163 00:00:42.162 00:00:42.163 | | runNetwork 00:00:42.163 00:05:21.173 00:04:39.010 00:05:21.173 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 44802019 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 279.01 sec Average Firing Rate: 2+ms delay = 10.408 Hz 1ms delay = inf Hz Overall = 20.206 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13322000 1ms delay = 13188719 Total = 26510719 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 200053 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:16000) |- End Id = (G:128099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200053 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 200593 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:16100) |- End Id = (G:128199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200593 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 201031 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:16200) |- End Id = (G:128299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 201031 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 200563 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:16300) |- End Id = (G:128399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200563 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200053 |- Avg numPreSynapses = 100.03 |- Avg numPostSynapses = 100.03 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200593 |- Avg numPreSynapses = 100.30 |- Avg numPostSynapses = 100.30 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 201031 |- Avg numPreSynapses = 100.52 |- Avg numPostSynapses = 100.52 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200563 |- Avg numPreSynapses = 100.28 |- Avg numPostSynapses = 100.28 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 200364 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:16000) |- End Id = (G:128499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200364 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 199843 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:16100) |- End Id = (G:128599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 199843 |-+ Local Group exc1(G:18,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:8000) |- End Id = (G:25999,L:9999) |- numPostSynapses = 200549 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:16200) |- End Id = (G:128699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:10000) |- End Id = (G:27999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 200549 |-+ Local Group exc1(G:21,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:12000) |- End Id = (G:29999,L:13999) |- numPostSynapses = 200124 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:16300) |- End Id = (G:128799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:14000) |- End Id = (G:31999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200124 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200364 |- Avg numPreSynapses = 100.18 |- Avg numPostSynapses = 100.18 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199843 |- Avg numPreSynapses = 99.92 |- Avg numPostSynapses = 99.92 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200549 |- Avg numPreSynapses = 100.27 |- Avg numPostSynapses = 100.27 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200124 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 199443 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:16000) |- End Id = (G:128899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 199443 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 199689 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:16100) |- End Id = (G:128999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 199689 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 199536 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:16200) |- End Id = (G:129099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 199536 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 200011 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:16300) |- End Id = (G:129199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200011 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199443 |- Avg numPreSynapses = 99.72 |- Avg numPostSynapses = 99.72 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199689 |- Avg numPreSynapses = 99.84 |- Avg numPostSynapses = 99.84 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199536 |- Avg numPreSynapses = 99.77 |- Avg numPostSynapses = 99.77 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200011 |- Avg numPreSynapses = 100.01 |- Avg numPostSynapses = 100.01 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 200789 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:16000) |- End Id = (G:129299,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200789 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 199523 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:16100) |- End Id = (G:129399,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 199523 |-+ Local Group exc1(G:42,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:8000) |- End Id = (G:57999,L:9999) |- numPostSynapses = 199461 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:16200) |- End Id = (G:129499,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:10000) |- End Id = (G:59999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 199461 |-+ Local Group exc1(G:45,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:12000) |- End Id = (G:61999,L:13999) |- numPostSynapses = 200578 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:16300) |- End Id = (G:129599,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:14000) |- End Id = (G:63999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200578 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200789 |- Avg numPreSynapses = 100.39 |- Avg numPostSynapses = 100.39 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199523 |- Avg numPreSynapses = 99.76 |- Avg numPostSynapses = 99.76 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199461 |- Avg numPreSynapses = 99.73 |- Avg numPostSynapses = 99.73 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200578 |- Avg numPreSynapses = 100.29 |- Avg numPostSynapses = 100.29 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:16000) |- End Id = (G:129699,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 200235 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:16100) |- End Id = (G:129799,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200235 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:16200) |- End Id = (G:129899,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 200513 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:16300) |- End Id = (G:129999,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200513 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200235 |- Avg numPreSynapses = 100.12 |- Avg numPostSynapses = 100.12 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200513 |- Avg numPreSynapses = 100.26 |- Avg numPostSynapses = 100.26 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 199756 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:16000) |- End Id = (G:130099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 199756 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 200093 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:16100) |- End Id = (G:130199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200093 |-+ Local Group exc1(G:66,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:8000) |- End Id = (G:89999,L:9999) |- numPostSynapses = 199187 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:16200) |- End Id = (G:130299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:10000) |- End Id = (G:91999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 199187 |-+ Local Group exc1(G:69,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:12000) |- End Id = (G:93999,L:13999) |- numPostSynapses = 200005 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:16300) |- End Id = (G:130399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:14000) |- End Id = (G:95999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200005 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199756 |- Avg numPreSynapses = 99.88 |- Avg numPostSynapses = 99.88 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200093 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199187 |- Avg numPreSynapses = 99.59 |- Avg numPostSynapses = 99.59 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200005 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 100.00 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 200094 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:16000) |- End Id = (G:130499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200094 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 200307 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:16100) |- End Id = (G:130599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200307 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 200275 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:16200) |- End Id = (G:130699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 200275 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 200437 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:16300) |- End Id = (G:130799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 200437 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200094 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200307 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200275 |- Avg numPreSynapses = 100.14 |- Avg numPostSynapses = 100.14 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200437 |- Avg numPreSynapses = 100.22 |- Avg numPostSynapses = 100.22 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 200630 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:16000) |- End Id = (G:130899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200630 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 200303 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:16100) |- End Id = (G:130999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200303 |-+ Local Group exc1(G:90,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:8000) |- End Id = (G:121999,L:9999) |- numPostSynapses = 199882 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:16200) |- End Id = (G:131099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:10000) |- End Id = (G:123999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 199882 |-+ Local Group exc1(G:93,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:12000) |- End Id = (G:125999,L:13999) |- numPostSynapses = 199731 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:16300) |- End Id = (G:131199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:14000) |- End Id = (G:127999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 199731 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200630 |- Avg numPreSynapses = 100.32 |- Avg numPostSynapses = 100.32 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200303 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199882 |- Avg numPreSynapses = 99.94 |- Avg numPostSynapses = 99.94 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199731 |- Avg numPreSynapses = 99.87 |- Avg numPostSynapses = 99.87 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 8 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:22.258 00:00:22.257 00:00:22.258 | | runNetwork 00:00:22.258 00:01:48.723 00:01:26.465 00:01:48.723 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 12803826 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 86.46 sec Average Firing Rate: 2+ms delay = 10.406 Hz 1ms delay = inf Hz Overall = 20.384 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13320000 1ms delay = 13423865 Total = 26743865 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 399690 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:16000) |- End Id = (G:128099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399690 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 400408 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:16100) |- End Id = (G:128199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400408 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 400958 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:16200) |- End Id = (G:128299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 400958 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 400446 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:16300) |- End Id = (G:128399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 400446 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399690 |- Avg numPreSynapses = 199.85 |- Avg numPostSynapses = 199.85 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400408 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400958 |- Avg numPreSynapses = 200.48 |- Avg numPostSynapses = 200.48 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400446 |- Avg numPreSynapses = 200.22 |- Avg numPostSynapses = 200.22 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 399761 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:16000) |- End Id = (G:128499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399761 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 399777 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:16100) |- End Id = (G:128599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399777 |-+ Local Group exc1(G:18,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:8000) |- End Id = (G:25999,L:9999) |- numPostSynapses = 400420 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:16200) |- End Id = (G:128699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:10000) |- End Id = (G:27999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 400420 |-+ Local Group exc1(G:21,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:12000) |- End Id = (G:29999,L:13999) |- numPostSynapses = 400298 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:16300) |- End Id = (G:128799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:14000) |- End Id = (G:31999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 400298 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399761 |- Avg numPreSynapses = 199.88 |- Avg numPostSynapses = 199.88 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399777 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400420 |- Avg numPreSynapses = 200.21 |- Avg numPostSynapses = 200.21 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400298 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 399371 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:16000) |- End Id = (G:128899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399371 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 400272 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:16100) |- End Id = (G:128999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400272 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 399108 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:16200) |- End Id = (G:129099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 399108 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 399571 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:16300) |- End Id = (G:129199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 399571 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399371 |- Avg numPreSynapses = 199.69 |- Avg numPostSynapses = 199.69 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400272 |- Avg numPreSynapses = 200.14 |- Avg numPostSynapses = 200.14 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399108 |- Avg numPreSynapses = 199.55 |- Avg numPostSynapses = 199.55 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399571 |- Avg numPreSynapses = 199.79 |- Avg numPostSynapses = 199.79 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 400704 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:16000) |- End Id = (G:129299,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400704 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 400068 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:16100) |- End Id = (G:129399,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400068 |-+ Local Group exc1(G:42,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:8000) |- End Id = (G:57999,L:9999) |- numPostSynapses = 400133 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:16200) |- End Id = (G:129499,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:10000) |- End Id = (G:59999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 400133 |-+ Local Group exc1(G:45,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:12000) |- End Id = (G:61999,L:13999) |- numPostSynapses = 400479 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:16300) |- End Id = (G:129599,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:14000) |- End Id = (G:63999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 400479 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400704 |- Avg numPreSynapses = 200.35 |- Avg numPostSynapses = 200.35 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400068 |- Avg numPreSynapses = 200.03 |- Avg numPostSynapses = 200.03 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400133 |- Avg numPreSynapses = 200.07 |- Avg numPostSynapses = 200.07 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400479 |- Avg numPreSynapses = 200.24 |- Avg numPostSynapses = 200.24 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 400539 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:16000) |- End Id = (G:129699,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400539 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 399893 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:16100) |- End Id = (G:129799,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399893 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 399361 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:16200) |- End Id = (G:129899,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 399361 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 399994 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:16300) |- End Id = (G:129999,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 399994 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400539 |- Avg numPreSynapses = 200.27 |- Avg numPostSynapses = 200.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399893 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399361 |- Avg numPreSynapses = 199.68 |- Avg numPostSynapses = 199.68 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399994 |- Avg numPreSynapses = 200.00 |- Avg numPostSynapses = 200.00 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 399830 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:16000) |- End Id = (G:130099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399830 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 399724 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:16100) |- End Id = (G:130199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399724 |-+ Local Group exc1(G:66,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:8000) |- End Id = (G:89999,L:9999) |- numPostSynapses = 399880 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:16200) |- End Id = (G:130299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:10000) |- End Id = (G:91999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 399880 |-+ Local Group exc1(G:69,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:12000) |- End Id = (G:93999,L:13999) |- numPostSynapses = 399018 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:16300) |- End Id = (G:130399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:14000) |- End Id = (G:95999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 399018 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399830 |- Avg numPreSynapses = 199.91 |- Avg numPostSynapses = 199.91 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399724 |- Avg numPreSynapses = 199.86 |- Avg numPostSynapses = 199.86 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399880 |- Avg numPreSynapses = 199.94 |- Avg numPostSynapses = 199.94 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399018 |- Avg numPreSynapses = 199.51 |- Avg numPostSynapses = 199.51 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 399537 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:16000) |- End Id = (G:130499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399537 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 401152 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:16100) |- End Id = (G:130599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 401152 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 399781 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:16200) |- End Id = (G:130699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 399781 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 400405 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:16300) |- End Id = (G:130799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 400405 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399537 |- Avg numPreSynapses = 199.77 |- Avg numPostSynapses = 199.77 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 401152 |- Avg numPreSynapses = 200.58 |- Avg numPostSynapses = 200.58 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399781 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400405 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 400678 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:16000) |- End Id = (G:130899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400678 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 400177 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:16100) |- End Id = (G:130999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400177 |-+ Local Group exc1(G:90,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:8000) |- End Id = (G:121999,L:9999) |- numPostSynapses = 400306 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:16200) |- End Id = (G:131099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:10000) |- End Id = (G:123999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 400306 |-+ Local Group exc1(G:93,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:12000) |- End Id = (G:125999,L:13999) |- numPostSynapses = 399901 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:16300) |- End Id = (G:131199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:14000) |- End Id = (G:127999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 399901 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400678 |- Avg numPreSynapses = 200.34 |- Avg numPostSynapses = 200.34 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400177 |- Avg numPreSynapses = 200.09 |- Avg numPostSynapses = 200.09 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400306 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399901 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 8 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:25.722 00:00:25.721 00:00:25.722 | | runNetwork 00:00:25.722 00:02:26.519 00:02:00.797 00:02:26.519 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 19201640 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 120.80 sec Average Firing Rate: 2+ms delay = 10.419 Hz 1ms delay = inf Hz Overall = 20.209 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13336000 1ms delay = 13178424 Total = 26514424 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 600521 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:16000) |- End Id = (G:128099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600521 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 600560 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:16100) |- End Id = (G:128199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600560 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 600711 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:16200) |- End Id = (G:128299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600711 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 600387 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:16300) |- End Id = (G:128399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 600387 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600521 |- Avg numPreSynapses = 300.26 |- Avg numPostSynapses = 300.26 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600560 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600711 |- Avg numPreSynapses = 300.36 |- Avg numPostSynapses = 300.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600387 |- Avg numPreSynapses = 300.19 |- Avg numPostSynapses = 300.19 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 599855 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:16000) |- End Id = (G:128499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599855 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 600448 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:16100) |- End Id = (G:128599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600448 |-+ Local Group exc1(G:18,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:8000) |- End Id = (G:25999,L:9999) |- numPostSynapses = 599985 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:16200) |- End Id = (G:128699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:10000) |- End Id = (G:27999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 599985 |-+ Local Group exc1(G:21,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:12000) |- End Id = (G:29999,L:13999) |- numPostSynapses = 600580 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:16300) |- End Id = (G:128799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:14000) |- End Id = (G:31999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 600580 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599855 |- Avg numPreSynapses = 299.93 |- Avg numPostSynapses = 299.93 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600448 |- Avg numPreSynapses = 300.22 |- Avg numPostSynapses = 300.22 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599985 |- Avg numPreSynapses = 299.99 |- Avg numPostSynapses = 299.99 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600580 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 599147 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:16000) |- End Id = (G:128899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599147 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 600273 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:16100) |- End Id = (G:128999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600273 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 598879 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:16200) |- End Id = (G:129099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 598879 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 599524 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:16300) |- End Id = (G:129199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 599524 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599147 |- Avg numPreSynapses = 299.57 |- Avg numPostSynapses = 299.57 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600273 |- Avg numPreSynapses = 300.14 |- Avg numPostSynapses = 300.14 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 598879 |- Avg numPreSynapses = 299.44 |- Avg numPostSynapses = 299.44 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599524 |- Avg numPreSynapses = 299.76 |- Avg numPostSynapses = 299.76 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 601057 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:16000) |- End Id = (G:129299,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 601057 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 599883 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:16100) |- End Id = (G:129399,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599883 |-+ Local Group exc1(G:42,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:8000) |- End Id = (G:57999,L:9999) |- numPostSynapses = 600171 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:16200) |- End Id = (G:129499,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:10000) |- End Id = (G:59999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600171 |-+ Local Group exc1(G:45,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:12000) |- End Id = (G:61999,L:13999) |- numPostSynapses = 600450 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:16300) |- End Id = (G:129599,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:14000) |- End Id = (G:63999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 600450 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601057 |- Avg numPreSynapses = 300.53 |- Avg numPostSynapses = 300.53 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599883 |- Avg numPreSynapses = 299.94 |- Avg numPostSynapses = 299.94 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600171 |- Avg numPreSynapses = 300.09 |- Avg numPostSynapses = 300.09 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600450 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 600535 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:16000) |- End Id = (G:129699,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600535 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 599389 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:16100) |- End Id = (G:129799,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599389 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 600099 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:16200) |- End Id = (G:129899,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600099 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 600572 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:16300) |- End Id = (G:129999,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 600572 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600535 |- Avg numPreSynapses = 300.27 |- Avg numPostSynapses = 300.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599389 |- Avg numPreSynapses = 299.69 |- Avg numPostSynapses = 299.69 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600099 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600572 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 600117 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:16000) |- End Id = (G:130099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600117 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 599775 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:16100) |- End Id = (G:130199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599775 |-+ Local Group exc1(G:66,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:8000) |- End Id = (G:89999,L:9999) |- numPostSynapses = 600106 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:16200) |- End Id = (G:130299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:10000) |- End Id = (G:91999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600106 |-+ Local Group exc1(G:69,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:12000) |- End Id = (G:93999,L:13999) |- numPostSynapses = 599108 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:16300) |- End Id = (G:130399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:14000) |- End Id = (G:95999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 599108 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600117 |- Avg numPreSynapses = 300.06 |- Avg numPostSynapses = 300.06 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599775 |- Avg numPreSynapses = 299.89 |- Avg numPostSynapses = 299.89 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600106 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599108 |- Avg numPreSynapses = 299.55 |- Avg numPostSynapses = 299.55 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 599961 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:16000) |- End Id = (G:130499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599961 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 601509 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:16100) |- End Id = (G:130599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 601509 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 599935 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:16200) |- End Id = (G:130699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 599935 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 599550 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:16300) |- End Id = (G:130799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 599550 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599961 |- Avg numPreSynapses = 299.98 |- Avg numPostSynapses = 299.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601509 |- Avg numPreSynapses = 300.75 |- Avg numPostSynapses = 300.75 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599935 |- Avg numPreSynapses = 299.97 |- Avg numPostSynapses = 299.97 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599550 |- Avg numPreSynapses = 299.77 |- Avg numPostSynapses = 299.77 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 600466 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:16000) |- End Id = (G:130899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600466 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 599723 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:16100) |- End Id = (G:130999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599723 |-+ Local Group exc1(G:90,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:8000) |- End Id = (G:121999,L:9999) |- numPostSynapses = 600565 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:16200) |- End Id = (G:131099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:10000) |- End Id = (G:123999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 600565 |-+ Local Group exc1(G:93,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:12000) |- End Id = (G:125999,L:13999) |- numPostSynapses = 599562 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:16300) |- End Id = (G:131199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:14000) |- End Id = (G:127999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 599562 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600466 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599723 |- Avg numPreSynapses = 299.86 |- Avg numPostSynapses = 299.86 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600565 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599562 |- Avg numPreSynapses = 299.78 |- Avg numPostSynapses = 299.78 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 8 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:29.193 00:00:29.192 00:00:29.193 | | runNetwork 00:00:29.193 00:03:10.288 00:02:41.095 00:03:10.288 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 25603403 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 161.09 sec Average Firing Rate: 2+ms delay = 10.459 Hz 1ms delay = inf Hz Overall = 20.504 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13388000 1ms delay = 13512668 Total = 26900668 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 800488 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:16000) |- End Id = (G:128099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800488 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 800514 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:16100) |- End Id = (G:128199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800514 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 800727 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:16200) |- End Id = (G:128299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800727 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 800546 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:16300) |- End Id = (G:128399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 800546 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800488 |- Avg numPreSynapses = 400.24 |- Avg numPostSynapses = 400.24 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800514 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800727 |- Avg numPreSynapses = 400.36 |- Avg numPostSynapses = 400.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800546 |- Avg numPreSynapses = 400.27 |- Avg numPostSynapses = 400.27 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 799785 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:16000) |- End Id = (G:128499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799785 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 800115 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:16100) |- End Id = (G:128599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800115 |-+ Local Group exc1(G:18,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:8000) |- End Id = (G:25999,L:9999) |- numPostSynapses = 799686 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:16200) |- End Id = (G:128699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:10000) |- End Id = (G:27999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 799686 |-+ Local Group exc1(G:21,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:12000) |- End Id = (G:29999,L:13999) |- numPostSynapses = 801618 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:16300) |- End Id = (G:128799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:14000) |- End Id = (G:31999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 801618 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799785 |- Avg numPreSynapses = 399.89 |- Avg numPostSynapses = 399.89 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800115 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799686 |- Avg numPreSynapses = 399.84 |- Avg numPostSynapses = 399.84 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801618 |- Avg numPreSynapses = 400.81 |- Avg numPostSynapses = 400.81 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 799710 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:16000) |- End Id = (G:128899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799710 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 800142 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:16100) |- End Id = (G:128999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800142 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 799139 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:16200) |- End Id = (G:129099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 799139 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 799400 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:16300) |- End Id = (G:129199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 799400 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799710 |- Avg numPreSynapses = 399.86 |- Avg numPostSynapses = 399.86 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800142 |- Avg numPreSynapses = 400.07 |- Avg numPostSynapses = 400.07 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799139 |- Avg numPreSynapses = 399.57 |- Avg numPostSynapses = 399.57 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799400 |- Avg numPreSynapses = 399.70 |- Avg numPostSynapses = 399.70 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 801529 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:16000) |- End Id = (G:129299,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 801529 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 799021 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:16100) |- End Id = (G:129399,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799021 |-+ Local Group exc1(G:42,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:8000) |- End Id = (G:57999,L:9999) |- numPostSynapses = 800042 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:16200) |- End Id = (G:129499,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:10000) |- End Id = (G:59999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800042 |-+ Local Group exc1(G:45,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:12000) |- End Id = (G:61999,L:13999) |- numPostSynapses = 799984 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:16300) |- End Id = (G:129599,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:14000) |- End Id = (G:63999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 799984 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801529 |- Avg numPreSynapses = 400.76 |- Avg numPostSynapses = 400.76 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799021 |- Avg numPreSynapses = 399.51 |- Avg numPostSynapses = 399.51 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800042 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799984 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 800361 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:16000) |- End Id = (G:129699,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800361 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 799976 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:16100) |- End Id = (G:129799,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799976 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 800127 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:16200) |- End Id = (G:129899,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800127 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 800492 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:16300) |- End Id = (G:129999,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 800492 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800361 |- Avg numPreSynapses = 400.18 |- Avg numPostSynapses = 400.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799976 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800127 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800492 |- Avg numPreSynapses = 400.25 |- Avg numPostSynapses = 400.25 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 799233 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:16000) |- End Id = (G:130099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799233 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 800226 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:16100) |- End Id = (G:130199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800226 |-+ Local Group exc1(G:66,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:8000) |- End Id = (G:89999,L:9999) |- numPostSynapses = 800321 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:16200) |- End Id = (G:130299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:10000) |- End Id = (G:91999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800321 |-+ Local Group exc1(G:69,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:12000) |- End Id = (G:93999,L:13999) |- numPostSynapses = 799244 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:16300) |- End Id = (G:130399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:14000) |- End Id = (G:95999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 799244 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799233 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800226 |- Avg numPreSynapses = 400.11 |- Avg numPostSynapses = 400.11 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800321 |- Avg numPreSynapses = 400.16 |- Avg numPostSynapses = 400.16 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799244 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 800166 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:16000) |- End Id = (G:130499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800166 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 800738 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:16100) |- End Id = (G:130599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800738 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 800032 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:16200) |- End Id = (G:130699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 800032 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 799972 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:16300) |- End Id = (G:130799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 799972 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800166 |- Avg numPreSynapses = 400.08 |- Avg numPostSynapses = 400.08 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800738 |- Avg numPreSynapses = 400.37 |- Avg numPostSynapses = 400.37 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800032 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799972 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 800516 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:16000) |- End Id = (G:130899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800516 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 798495 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:16100) |- End Id = (G:130999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 798495 |-+ Local Group exc1(G:90,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:8000) |- End Id = (G:121999,L:9999) |- numPostSynapses = 799737 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:16200) |- End Id = (G:131099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:10000) |- End Id = (G:123999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 799737 |-+ Local Group exc1(G:93,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:12000) |- End Id = (G:125999,L:13999) |- numPostSynapses = 799207 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:16300) |- End Id = (G:131199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:14000) |- End Id = (G:127999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 799207 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800516 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 798495 |- Avg numPreSynapses = 399.25 |- Avg numPostSynapses = 399.25 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799737 |- Avg numPreSynapses = 399.87 |- Avg numPostSynapses = 399.87 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799207 |- Avg numPreSynapses = 399.60 |- Avg numPostSynapses = 399.60 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 8 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:32.744 00:00:32.743 00:00:32.744 | | runNetwork 00:00:32.744 00:03:47.133 00:03:14.389 00:03:47.133 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 32001289 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 194.39 sec Average Firing Rate: 2+ms delay = 10.392 Hz 1ms delay = inf Hz Overall = 20.507 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13302000 1ms delay = 13603190 Total = 26905190 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1000601 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:16000) |- End Id = (G:128099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000601 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1001516 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:16100) |- End Id = (G:128199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1001516 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 1000561 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:16200) |- End Id = (G:128299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000561 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:16300) |- End Id = (G:128399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000601 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001516 |- Avg numPreSynapses = 500.76 |- Avg numPostSynapses = 500.76 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000561 |- Avg numPreSynapses = 500.28 |- Avg numPostSynapses = 500.28 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 999363 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:16000) |- End Id = (G:128499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 999363 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 999729 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:16100) |- End Id = (G:128599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999729 |-+ Local Group exc1(G:18,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:8000) |- End Id = (G:25999,L:9999) |- numPostSynapses = 1000610 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:16200) |- End Id = (G:128699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:10000) |- End Id = (G:27999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000610 |-+ Local Group exc1(G:21,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:12000) |- End Id = (G:29999,L:13999) |- numPostSynapses = 1001773 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:16300) |- End Id = (G:128799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:14000) |- End Id = (G:31999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1001773 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999363 |- Avg numPreSynapses = 499.68 |- Avg numPostSynapses = 499.68 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999729 |- Avg numPreSynapses = 499.86 |- Avg numPostSynapses = 499.86 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000610 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001773 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 999288 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:16000) |- End Id = (G:128899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 999288 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:16100) |- End Id = (G:128999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 999125 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:16200) |- End Id = (G:129099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 999125 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 998917 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:16300) |- End Id = (G:129199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 998917 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999288 |- Avg numPreSynapses = 499.64 |- Avg numPostSynapses = 499.64 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999125 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998917 |- Avg numPreSynapses = 499.46 |- Avg numPostSynapses = 499.46 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 1001770 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:16000) |- End Id = (G:129299,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1001770 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 999456 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:16100) |- End Id = (G:129399,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999456 |-+ Local Group exc1(G:42,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:8000) |- End Id = (G:57999,L:9999) |- numPostSynapses = 1000204 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:16200) |- End Id = (G:129499,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:10000) |- End Id = (G:59999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000204 |-+ Local Group exc1(G:45,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:12000) |- End Id = (G:61999,L:13999) |- numPostSynapses = 1000018 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:16300) |- End Id = (G:129599,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:14000) |- End Id = (G:63999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1000018 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001770 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999456 |- Avg numPreSynapses = 499.73 |- Avg numPostSynapses = 499.73 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000204 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000018 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 1000437 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:16000) |- End Id = (G:129699,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000437 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 999987 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:16100) |- End Id = (G:129799,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999987 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 1000027 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:16200) |- End Id = (G:129899,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000027 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 1000310 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:16300) |- End Id = (G:129999,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1000310 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000437 |- Avg numPreSynapses = 500.22 |- Avg numPostSynapses = 500.22 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999987 |- Avg numPreSynapses = 499.99 |- Avg numPostSynapses = 499.99 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000027 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000310 |- Avg numPreSynapses = 500.15 |- Avg numPostSynapses = 500.15 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 998674 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:16000) |- End Id = (G:130099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 998674 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 1000359 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:16100) |- End Id = (G:130199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1000359 |-+ Local Group exc1(G:66,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:8000) |- End Id = (G:89999,L:9999) |- numPostSynapses = 1000863 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:16200) |- End Id = (G:130299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:10000) |- End Id = (G:91999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000863 |-+ Local Group exc1(G:69,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:12000) |- End Id = (G:93999,L:13999) |- numPostSynapses = 999112 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:16300) |- End Id = (G:130399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:14000) |- End Id = (G:95999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 999112 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998674 |- Avg numPreSynapses = 499.34 |- Avg numPostSynapses = 499.34 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000359 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000863 |- Avg numPreSynapses = 500.43 |- Avg numPostSynapses = 500.43 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999112 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 999955 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:16000) |- End Id = (G:130499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 999955 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 1001033 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:16100) |- End Id = (G:130599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1001033 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 1000652 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:16200) |- End Id = (G:130699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000652 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 1000352 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:16300) |- End Id = (G:130799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1000352 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999955 |- Avg numPreSynapses = 499.98 |- Avg numPostSynapses = 499.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001033 |- Avg numPreSynapses = 500.52 |- Avg numPostSynapses = 500.52 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000652 |- Avg numPreSynapses = 500.33 |- Avg numPostSynapses = 500.33 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000352 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 1000752 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:16000) |- End Id = (G:130899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000752 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 998480 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:16100) |- End Id = (G:130999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 998480 |-+ Local Group exc1(G:90,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:8000) |- End Id = (G:121999,L:9999) |- numPostSynapses = 1000202 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:16200) |- End Id = (G:131099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:10000) |- End Id = (G:123999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1000202 |-+ Local Group exc1(G:93,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:12000) |- End Id = (G:125999,L:13999) |- numPostSynapses = 999639 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:16300) |- End Id = (G:131199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:14000) |- End Id = (G:127999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 999639 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000752 |- Avg numPreSynapses = 500.38 |- Avg numPostSynapses = 500.38 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998480 |- Avg numPreSynapses = 499.24 |- Avg numPostSynapses = 499.24 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000202 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999639 |- Avg numPreSynapses = 499.82 |- Avg numPostSynapses = 499.82 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 8 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:36.508 00:00:36.507 00:00:36.508 | | runNetwork 00:00:36.508 00:04:40.617 00:04:04.109 00:04:40.617 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 38403297 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 244.11 sec Average Firing Rate: 2+ms delay = 10.475 Hz 1ms delay = inf Hz Overall = 20.317 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13408000 1ms delay = 13247679 Total = 26655679 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1200708 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:16000) |- End Id = (G:128099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200708 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1201329 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:16100) |- End Id = (G:128199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1201329 |-+ Local Group exc1(G:6,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:8000) |- End Id = (G:9999,L:9999) |- numPostSynapses = 1200484 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:16200) |- End Id = (G:128299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:10000) |- End Id = (G:11999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200484 |-+ Local Group exc1(G:9,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:12000) |- End Id = (G:13999,L:13999) |- numPostSynapses = 1199614 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:16300) |- End Id = (G:128399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:14000) |- End Id = (G:15999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1199614 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200708 |- Avg numPreSynapses = 600.35 |- Avg numPostSynapses = 600.35 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201329 |- Avg numPreSynapses = 600.66 |- Avg numPostSynapses = 600.66 |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200484 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199614 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 1199401 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:16000) |- End Id = (G:128499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199401 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 1200370 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:16100) |- End Id = (G:128599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200370 |-+ Local Group exc1(G:18,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:8000) |- End Id = (G:25999,L:9999) |- numPostSynapses = 1199993 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:16200) |- End Id = (G:128699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:10000) |- End Id = (G:27999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1199993 |-+ Local Group exc1(G:21,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:12000) |- End Id = (G:29999,L:13999) |- numPostSynapses = 1201870 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:16300) |- End Id = (G:128799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:14000) |- End Id = (G:31999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1201870 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199401 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200370 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199993 |- Avg numPreSynapses = 600.00 |- Avg numPostSynapses = 600.00 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201870 |- Avg numPreSynapses = 600.93 |- Avg numPostSynapses = 600.93 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 1199542 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:16000) |- End Id = (G:128899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199542 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 1200119 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:16100) |- End Id = (G:128999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200119 |-+ Local Group exc1(G:30,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:8000) |- End Id = (G:41999,L:9999) |- numPostSynapses = 1199399 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:16200) |- End Id = (G:129099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:10000) |- End Id = (G:43999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1199399 |-+ Local Group exc1(G:33,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:12000) |- End Id = (G:45999,L:13999) |- numPostSynapses = 1198565 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:16300) |- End Id = (G:129199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:14000) |- End Id = (G:47999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1198565 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199542 |- Avg numPreSynapses = 599.77 |- Avg numPostSynapses = 599.77 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200119 |- Avg numPreSynapses = 600.06 |- Avg numPostSynapses = 600.06 |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199399 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198565 |- Avg numPreSynapses = 599.28 |- Avg numPostSynapses = 599.28 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 1202097 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:16000) |- End Id = (G:129299,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1202097 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 1199707 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:16100) |- End Id = (G:129399,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199707 |-+ Local Group exc1(G:42,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:8000) |- End Id = (G:57999,L:9999) |- numPostSynapses = 1200457 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:16200) |- End Id = (G:129499,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:10000) |- End Id = (G:59999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200457 |-+ Local Group exc1(G:45,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:12000) |- End Id = (G:61999,L:13999) |- numPostSynapses = 1199626 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:16300) |- End Id = (G:129599,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:14000) |- End Id = (G:63999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1199626 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1202097 |- Avg numPreSynapses = 601.05 |- Avg numPostSynapses = 601.05 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199707 |- Avg numPreSynapses = 599.85 |- Avg numPostSynapses = 599.85 |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200457 |- Avg numPreSynapses = 600.23 |- Avg numPostSynapses = 600.23 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199626 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 1200354 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:16000) |- End Id = (G:129699,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200354 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 1199297 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:16100) |- End Id = (G:129799,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199297 |-+ Local Group exc1(G:54,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:8000) |- End Id = (G:73999,L:9999) |- numPostSynapses = 1200239 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:16200) |- End Id = (G:129899,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:10000) |- End Id = (G:75999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200239 |-+ Local Group exc1(G:57,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:12000) |- End Id = (G:77999,L:13999) |- numPostSynapses = 1200224 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:16300) |- End Id = (G:129999,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:14000) |- End Id = (G:79999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1200224 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200354 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199297 |- Avg numPreSynapses = 599.65 |- Avg numPostSynapses = 599.65 |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200239 |- Avg numPreSynapses = 600.12 |- Avg numPostSynapses = 600.12 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200224 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 1198456 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:16000) |- End Id = (G:130099,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1198456 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 1200212 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:16100) |- End Id = (G:130199,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200212 |-+ Local Group exc1(G:66,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:8000) |- End Id = (G:89999,L:9999) |- numPostSynapses = 1200751 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:16200) |- End Id = (G:130299,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:10000) |- End Id = (G:91999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200751 |-+ Local Group exc1(G:69,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:12000) |- End Id = (G:93999,L:13999) |- numPostSynapses = 1199644 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:16300) |- End Id = (G:130399,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:14000) |- End Id = (G:95999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1199644 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198456 |- Avg numPreSynapses = 599.23 |- Avg numPostSynapses = 599.23 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200212 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200751 |- Avg numPreSynapses = 600.38 |- Avg numPostSynapses = 600.38 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199644 |- Avg numPreSynapses = 599.82 |- Avg numPostSynapses = 599.82 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 1200563 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:16000) |- End Id = (G:130499,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200563 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 1200570 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:16100) |- End Id = (G:130599,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200570 |-+ Local Group exc1(G:78,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:8000) |- End Id = (G:105999,L:9999) |- numPostSynapses = 1200593 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:16200) |- End Id = (G:130699,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:10000) |- End Id = (G:107999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1200593 |-+ Local Group exc1(G:81,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:12000) |- End Id = (G:109999,L:13999) |- numPostSynapses = 1200473 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:16300) |- End Id = (G:130799,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:14000) |- End Id = (G:111999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1200473 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200563 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200570 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200593 |- Avg numPreSynapses = 600.30 |- Avg numPostSynapses = 600.30 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200473 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 1199680 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:8): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:16000) |- End Id = (G:130899,L:16099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199680 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 1198291 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:9): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:16100) |- End Id = (G:130999,L:16199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1198291 |-+ Local Group exc1(G:90,L:4): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:8000) |- End Id = (G:121999,L:9999) |- numPostSynapses = 1199458 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:10): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:16200) |- End Id = (G:131099,L:16299) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:5): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:10000) |- End Id = (G:123999,L:11999) |- numPostSynapses = 0 |- numPreSynapses = 1199458 |-+ Local Group exc1(G:93,L:6): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:12000) |- End Id = (G:125999,L:13999) |- numPostSynapses = 1199933 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:11): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:16300) |- End Id = (G:131199,L:16399) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:7): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:14000) |- End Id = (G:127999,L:15999) |- numPostSynapses = 0 |- numPreSynapses = 1199933 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199680 |- Avg numPreSynapses = 599.84 |- Avg numPostSynapses = 599.84 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198291 |- Avg numPreSynapses = 599.15 |- Avg numPostSynapses = 599.15 |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199458 |- Avg numPreSynapses = 599.73 |- Avg numPostSynapses = 599.73 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199933 |- Avg numPreSynapses = 599.97 |- Avg numPostSynapses = 599.97 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 8 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:40.176 00:00:40.175 00:00:40.176 | | runNetwork 00:00:40.176 00:05:08.209 00:04:28.033 00:05:08.209 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 44802019 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 268.03 sec Average Firing Rate: 2+ms delay = 10.398 Hz 1ms delay = inf Hz Overall = 20.216 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13310000 1ms delay = 13213538 Total = 26523538 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 200053 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:8000) |- End Id = (G:128099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200053 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 200593 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:8100) |- End Id = (G:128199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200593 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200053 |- Avg numPreSynapses = 100.03 |- Avg numPostSynapses = 100.03 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200593 |- Avg numPreSynapses = 100.30 |- Avg numPostSynapses = 100.30 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:6,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:0) |- End Id = (G:9999,L:1999) |- numPostSynapses = 201031 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:8000) |- End Id = (G:128299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:2000) |- End Id = (G:11999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 201031 |-+ Local Group exc1(G:9,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:4000) |- End Id = (G:13999,L:5999) |- numPostSynapses = 200563 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:8100) |- End Id = (G:128399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:6000) |- End Id = (G:15999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200563 |-+ Connection List: |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 201031 |- Avg numPreSynapses = 100.52 |- Avg numPostSynapses = 100.52 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200563 |- Avg numPreSynapses = 100.28 |- Avg numPostSynapses = 100.28 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 200364 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:8000) |- End Id = (G:128499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200364 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 199843 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:8100) |- End Id = (G:128599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 199843 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200364 |- Avg numPreSynapses = 100.18 |- Avg numPostSynapses = 100.18 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199843 |- Avg numPreSynapses = 99.92 |- Avg numPostSynapses = 99.92 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:18,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:0) |- End Id = (G:25999,L:1999) |- numPostSynapses = 200549 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:8000) |- End Id = (G:128699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:2000) |- End Id = (G:27999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200549 |-+ Local Group exc1(G:21,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:4000) |- End Id = (G:29999,L:5999) |- numPostSynapses = 200124 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:8100) |- End Id = (G:128799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:6000) |- End Id = (G:31999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200124 |-+ Connection List: |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200549 |- Avg numPreSynapses = 100.27 |- Avg numPostSynapses = 100.27 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200124 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 199443 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:8000) |- End Id = (G:128899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 199443 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 199689 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:8100) |- End Id = (G:128999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 199689 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199443 |- Avg numPreSynapses = 99.72 |- Avg numPostSynapses = 99.72 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199689 |- Avg numPreSynapses = 99.84 |- Avg numPostSynapses = 99.84 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:30,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:0) |- End Id = (G:41999,L:1999) |- numPostSynapses = 199536 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:8000) |- End Id = (G:129099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:2000) |- End Id = (G:43999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 199536 |-+ Local Group exc1(G:33,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:4000) |- End Id = (G:45999,L:5999) |- numPostSynapses = 200011 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:8100) |- End Id = (G:129199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:6000) |- End Id = (G:47999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200011 |-+ Connection List: |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199536 |- Avg numPreSynapses = 99.77 |- Avg numPostSynapses = 99.77 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200011 |- Avg numPreSynapses = 100.01 |- Avg numPostSynapses = 100.01 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 200789 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:8000) |- End Id = (G:129299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200789 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 199523 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:8100) |- End Id = (G:129399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 199523 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200789 |- Avg numPreSynapses = 100.39 |- Avg numPostSynapses = 100.39 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199523 |- Avg numPreSynapses = 99.76 |- Avg numPostSynapses = 99.76 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:42,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:0) |- End Id = (G:57999,L:1999) |- numPostSynapses = 199461 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:8000) |- End Id = (G:129499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:2000) |- End Id = (G:59999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 199461 |-+ Local Group exc1(G:45,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:4000) |- End Id = (G:61999,L:5999) |- numPostSynapses = 200578 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:8100) |- End Id = (G:129599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:6000) |- End Id = (G:63999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200578 |-+ Connection List: |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199461 |- Avg numPreSynapses = 99.73 |- Avg numPostSynapses = 99.73 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200578 |- Avg numPreSynapses = 100.29 |- Avg numPostSynapses = 100.29 + Local Network (16) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:8000) |- End Id = (G:129699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 200235 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:8100) |- End Id = (G:129799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200235 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200235 |- Avg numPreSynapses = 100.12 |- Avg numPostSynapses = 100.12 + Local Network (17) |-+ Group List: |-+ Local Group exc1(G:54,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:0) |- End Id = (G:73999,L:1999) |- numPostSynapses = 200114 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:8000) |- End Id = (G:129899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:2000) |- End Id = (G:75999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200114 |-+ Local Group exc1(G:57,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:4000) |- End Id = (G:77999,L:5999) |- numPostSynapses = 200513 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:8100) |- End Id = (G:129999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:6000) |- End Id = (G:79999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200513 |-+ Connection List: |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200114 |- Avg numPreSynapses = 100.06 |- Avg numPostSynapses = 100.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200513 |- Avg numPreSynapses = 100.26 |- Avg numPostSynapses = 100.26 + Local Network (18) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 199756 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:8000) |- End Id = (G:130099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 199756 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 200093 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:8100) |- End Id = (G:130199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200093 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199756 |- Avg numPreSynapses = 99.88 |- Avg numPostSynapses = 99.88 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200093 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 + Local Network (19) |-+ Group List: |-+ Local Group exc1(G:66,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:0) |- End Id = (G:89999,L:1999) |- numPostSynapses = 199187 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:8000) |- End Id = (G:130299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:2000) |- End Id = (G:91999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 199187 |-+ Local Group exc1(G:69,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:4000) |- End Id = (G:93999,L:5999) |- numPostSynapses = 200005 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:8100) |- End Id = (G:130399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:6000) |- End Id = (G:95999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200005 |-+ Connection List: |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199187 |- Avg numPreSynapses = 99.59 |- Avg numPostSynapses = 99.59 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200005 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 100.00 + Local Network (20) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 200094 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:8000) |- End Id = (G:130499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200094 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 200307 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:8100) |- End Id = (G:130599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200307 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200094 |- Avg numPreSynapses = 100.05 |- Avg numPostSynapses = 100.05 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200307 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 + Local Network (21) |-+ Group List: |-+ Local Group exc1(G:78,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:0) |- End Id = (G:105999,L:1999) |- numPostSynapses = 200275 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:8000) |- End Id = (G:130699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:2000) |- End Id = (G:107999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200275 |-+ Local Group exc1(G:81,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:4000) |- End Id = (G:109999,L:5999) |- numPostSynapses = 200437 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:8100) |- End Id = (G:130799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:6000) |- End Id = (G:111999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200437 |-+ Connection List: |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200275 |- Avg numPreSynapses = 100.14 |- Avg numPostSynapses = 100.14 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200437 |- Avg numPreSynapses = 100.22 |- Avg numPostSynapses = 100.22 + Local Network (22) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 200630 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:8000) |- End Id = (G:130899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 200630 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 200303 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:8100) |- End Id = (G:130999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 200303 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200630 |- Avg numPreSynapses = 100.32 |- Avg numPostSynapses = 100.32 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200303 |- Avg numPreSynapses = 100.15 |- Avg numPostSynapses = 100.15 + Local Network (23) |-+ Group List: |-+ Local Group exc1(G:90,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:0) |- End Id = (G:121999,L:1999) |- numPostSynapses = 199882 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:8000) |- End Id = (G:131099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:2000) |- End Id = (G:123999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 199882 |-+ Local Group exc1(G:93,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:4000) |- End Id = (G:125999,L:5999) |- numPostSynapses = 199731 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:8100) |- End Id = (G:131199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:6000) |- End Id = (G:127999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 199731 |-+ Connection List: |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199882 |- Avg numPreSynapses = 99.94 |- Avg numPostSynapses = 99.94 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.99210 |- Initial weight = 1.99210 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 199731 |- Avg numPreSynapses = 99.87 |- Avg numPostSynapses = 99.87 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ***************** Initializing CPU 8 Runtime ************************* ***************** Initializing CPU 9 Runtime ************************* ***************** Initializing CPU 10 Runtime ************************* ***************** Initializing CPU 11 Runtime ************************* ***************** Initializing CPU 12 Runtime ************************* ***************** Initializing CPU 13 Runtime ************************* ***************** Initializing CPU 14 Runtime ************************* ***************** Initializing CPU 15 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 16 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:21.944 00:00:21.943 00:00:21.944 | | runNetwork 00:00:21.944 00:01:46.403 00:01:24.459 00:01:46.403 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 12803826 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 84.46 sec Average Firing Rate: 2+ms delay = 10.436 Hz 1ms delay = inf Hz Overall = 20.417 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13358000 1ms delay = 13428664 Total = 26786664 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 399690 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:8000) |- End Id = (G:128099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399690 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 400408 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:8100) |- End Id = (G:128199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400408 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399690 |- Avg numPreSynapses = 199.85 |- Avg numPostSynapses = 199.85 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400408 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:6,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:0) |- End Id = (G:9999,L:1999) |- numPostSynapses = 400958 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:8000) |- End Id = (G:128299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:2000) |- End Id = (G:11999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400958 |-+ Local Group exc1(G:9,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:4000) |- End Id = (G:13999,L:5999) |- numPostSynapses = 400446 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:8100) |- End Id = (G:128399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:6000) |- End Id = (G:15999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400446 |-+ Connection List: |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400958 |- Avg numPreSynapses = 200.48 |- Avg numPostSynapses = 200.48 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400446 |- Avg numPreSynapses = 200.22 |- Avg numPostSynapses = 200.22 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 399761 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:8000) |- End Id = (G:128499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399761 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 399777 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:8100) |- End Id = (G:128599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399777 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399761 |- Avg numPreSynapses = 199.88 |- Avg numPostSynapses = 199.88 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399777 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:18,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:0) |- End Id = (G:25999,L:1999) |- numPostSynapses = 400420 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:8000) |- End Id = (G:128699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:2000) |- End Id = (G:27999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400420 |-+ Local Group exc1(G:21,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:4000) |- End Id = (G:29999,L:5999) |- numPostSynapses = 400298 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:8100) |- End Id = (G:128799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:6000) |- End Id = (G:31999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400298 |-+ Connection List: |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400420 |- Avg numPreSynapses = 200.21 |- Avg numPostSynapses = 200.21 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400298 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 399371 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:8000) |- End Id = (G:128899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399371 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 400272 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:8100) |- End Id = (G:128999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400272 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399371 |- Avg numPreSynapses = 199.69 |- Avg numPostSynapses = 199.69 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400272 |- Avg numPreSynapses = 200.14 |- Avg numPostSynapses = 200.14 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:30,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:0) |- End Id = (G:41999,L:1999) |- numPostSynapses = 399108 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:8000) |- End Id = (G:129099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:2000) |- End Id = (G:43999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399108 |-+ Local Group exc1(G:33,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:4000) |- End Id = (G:45999,L:5999) |- numPostSynapses = 399571 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:8100) |- End Id = (G:129199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:6000) |- End Id = (G:47999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399571 |-+ Connection List: |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399108 |- Avg numPreSynapses = 199.55 |- Avg numPostSynapses = 199.55 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399571 |- Avg numPreSynapses = 199.79 |- Avg numPostSynapses = 199.79 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 400704 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:8000) |- End Id = (G:129299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400704 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 400068 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:8100) |- End Id = (G:129399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400068 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400704 |- Avg numPreSynapses = 200.35 |- Avg numPostSynapses = 200.35 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400068 |- Avg numPreSynapses = 200.03 |- Avg numPostSynapses = 200.03 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:42,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:0) |- End Id = (G:57999,L:1999) |- numPostSynapses = 400133 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:8000) |- End Id = (G:129499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:2000) |- End Id = (G:59999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400133 |-+ Local Group exc1(G:45,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:4000) |- End Id = (G:61999,L:5999) |- numPostSynapses = 400479 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:8100) |- End Id = (G:129599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:6000) |- End Id = (G:63999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400479 |-+ Connection List: |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400133 |- Avg numPreSynapses = 200.07 |- Avg numPostSynapses = 200.07 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400479 |- Avg numPreSynapses = 200.24 |- Avg numPostSynapses = 200.24 + Local Network (16) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 400539 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:8000) |- End Id = (G:129699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400539 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 399893 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:8100) |- End Id = (G:129799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399893 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400539 |- Avg numPreSynapses = 200.27 |- Avg numPostSynapses = 200.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399893 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 + Local Network (17) |-+ Group List: |-+ Local Group exc1(G:54,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:0) |- End Id = (G:73999,L:1999) |- numPostSynapses = 399361 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:8000) |- End Id = (G:129899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:2000) |- End Id = (G:75999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399361 |-+ Local Group exc1(G:57,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:4000) |- End Id = (G:77999,L:5999) |- numPostSynapses = 399994 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:8100) |- End Id = (G:129999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:6000) |- End Id = (G:79999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399994 |-+ Connection List: |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399361 |- Avg numPreSynapses = 199.68 |- Avg numPostSynapses = 199.68 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399994 |- Avg numPreSynapses = 200.00 |- Avg numPostSynapses = 200.00 + Local Network (18) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 399830 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:8000) |- End Id = (G:130099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399830 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 399724 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:8100) |- End Id = (G:130199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399724 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399830 |- Avg numPreSynapses = 199.91 |- Avg numPostSynapses = 199.91 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399724 |- Avg numPreSynapses = 199.86 |- Avg numPostSynapses = 199.86 + Local Network (19) |-+ Group List: |-+ Local Group exc1(G:66,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:0) |- End Id = (G:89999,L:1999) |- numPostSynapses = 399880 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:8000) |- End Id = (G:130299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:2000) |- End Id = (G:91999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399880 |-+ Local Group exc1(G:69,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:4000) |- End Id = (G:93999,L:5999) |- numPostSynapses = 399018 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:8100) |- End Id = (G:130399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:6000) |- End Id = (G:95999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399018 |-+ Connection List: |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399880 |- Avg numPreSynapses = 199.94 |- Avg numPostSynapses = 199.94 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399018 |- Avg numPreSynapses = 199.51 |- Avg numPostSynapses = 199.51 + Local Network (20) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 399537 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:8000) |- End Id = (G:130499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399537 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 401152 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:8100) |- End Id = (G:130599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 401152 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399537 |- Avg numPreSynapses = 199.77 |- Avg numPostSynapses = 199.77 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 401152 |- Avg numPreSynapses = 200.58 |- Avg numPostSynapses = 200.58 + Local Network (21) |-+ Group List: |-+ Local Group exc1(G:78,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:0) |- End Id = (G:105999,L:1999) |- numPostSynapses = 399781 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:8000) |- End Id = (G:130699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:2000) |- End Id = (G:107999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 399781 |-+ Local Group exc1(G:81,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:4000) |- End Id = (G:109999,L:5999) |- numPostSynapses = 400405 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:8100) |- End Id = (G:130799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:6000) |- End Id = (G:111999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400405 |-+ Connection List: |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399781 |- Avg numPreSynapses = 199.89 |- Avg numPostSynapses = 199.89 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400405 |- Avg numPreSynapses = 200.20 |- Avg numPostSynapses = 200.20 + Local Network (22) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 400678 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:8000) |- End Id = (G:130899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400678 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 400177 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:8100) |- End Id = (G:130999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 400177 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400678 |- Avg numPreSynapses = 200.34 |- Avg numPostSynapses = 200.34 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400177 |- Avg numPreSynapses = 200.09 |- Avg numPostSynapses = 200.09 + Local Network (23) |-+ Group List: |-+ Local Group exc1(G:90,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:0) |- End Id = (G:121999,L:1999) |- numPostSynapses = 400306 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:8000) |- End Id = (G:131099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:2000) |- End Id = (G:123999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 400306 |-+ Local Group exc1(G:93,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:4000) |- End Id = (G:125999,L:5999) |- numPostSynapses = 399901 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:8100) |- End Id = (G:131199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:6000) |- End Id = (G:127999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 399901 |-+ Connection List: |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 400306 |- Avg numPreSynapses = 200.15 |- Avg numPostSynapses = 200.15 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 1.00850 |- Initial weight = 1.00850 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 399901 |- Avg numPreSynapses = 199.95 |- Avg numPostSynapses = 199.95 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ***************** Initializing CPU 8 Runtime ************************* ***************** Initializing CPU 9 Runtime ************************* ***************** Initializing CPU 10 Runtime ************************* ***************** Initializing CPU 11 Runtime ************************* ***************** Initializing CPU 12 Runtime ************************* ***************** Initializing CPU 13 Runtime ************************* ***************** Initializing CPU 14 Runtime ************************* ***************** Initializing CPU 15 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 16 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:25.444 00:00:25.443 00:00:25.444 | | runNetwork 00:00:25.444 00:02:24.432 00:01:58.988 00:02:24.432 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 19201640 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 118.99 sec Average Firing Rate: 2+ms delay = 10.387 Hz 1ms delay = inf Hz Overall = 20.185 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13296000 1ms delay = 13187105 Total = 26483105 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 600521 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:8000) |- End Id = (G:128099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600521 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 600560 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:8100) |- End Id = (G:128199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600560 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600521 |- Avg numPreSynapses = 300.26 |- Avg numPostSynapses = 300.26 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600560 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:6,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:0) |- End Id = (G:9999,L:1999) |- numPostSynapses = 600711 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:8000) |- End Id = (G:128299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:2000) |- End Id = (G:11999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600711 |-+ Local Group exc1(G:9,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:4000) |- End Id = (G:13999,L:5999) |- numPostSynapses = 600387 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:8100) |- End Id = (G:128399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:6000) |- End Id = (G:15999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600387 |-+ Connection List: |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600711 |- Avg numPreSynapses = 300.36 |- Avg numPostSynapses = 300.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600387 |- Avg numPreSynapses = 300.19 |- Avg numPostSynapses = 300.19 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 599855 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:8000) |- End Id = (G:128499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599855 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 600448 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:8100) |- End Id = (G:128599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600448 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599855 |- Avg numPreSynapses = 299.93 |- Avg numPostSynapses = 299.93 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600448 |- Avg numPreSynapses = 300.22 |- Avg numPostSynapses = 300.22 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:18,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:0) |- End Id = (G:25999,L:1999) |- numPostSynapses = 599985 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:8000) |- End Id = (G:128699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:2000) |- End Id = (G:27999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599985 |-+ Local Group exc1(G:21,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:4000) |- End Id = (G:29999,L:5999) |- numPostSynapses = 600580 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:8100) |- End Id = (G:128799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:6000) |- End Id = (G:31999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600580 |-+ Connection List: |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599985 |- Avg numPreSynapses = 299.99 |- Avg numPostSynapses = 299.99 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600580 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 599147 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:8000) |- End Id = (G:128899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599147 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 600273 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:8100) |- End Id = (G:128999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600273 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599147 |- Avg numPreSynapses = 299.57 |- Avg numPostSynapses = 299.57 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600273 |- Avg numPreSynapses = 300.14 |- Avg numPostSynapses = 300.14 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:30,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:0) |- End Id = (G:41999,L:1999) |- numPostSynapses = 598879 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:8000) |- End Id = (G:129099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:2000) |- End Id = (G:43999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 598879 |-+ Local Group exc1(G:33,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:4000) |- End Id = (G:45999,L:5999) |- numPostSynapses = 599524 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:8100) |- End Id = (G:129199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:6000) |- End Id = (G:47999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599524 |-+ Connection List: |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 598879 |- Avg numPreSynapses = 299.44 |- Avg numPostSynapses = 299.44 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599524 |- Avg numPreSynapses = 299.76 |- Avg numPostSynapses = 299.76 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 601057 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:8000) |- End Id = (G:129299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 601057 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 599883 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:8100) |- End Id = (G:129399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599883 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601057 |- Avg numPreSynapses = 300.53 |- Avg numPostSynapses = 300.53 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599883 |- Avg numPreSynapses = 299.94 |- Avg numPostSynapses = 299.94 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:42,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:0) |- End Id = (G:57999,L:1999) |- numPostSynapses = 600171 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:8000) |- End Id = (G:129499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:2000) |- End Id = (G:59999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600171 |-+ Local Group exc1(G:45,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:4000) |- End Id = (G:61999,L:5999) |- numPostSynapses = 600450 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:8100) |- End Id = (G:129599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:6000) |- End Id = (G:63999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600450 |-+ Connection List: |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600171 |- Avg numPreSynapses = 300.09 |- Avg numPostSynapses = 300.09 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600450 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 + Local Network (16) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 600535 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:8000) |- End Id = (G:129699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600535 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 599389 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:8100) |- End Id = (G:129799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599389 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600535 |- Avg numPreSynapses = 300.27 |- Avg numPostSynapses = 300.27 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599389 |- Avg numPreSynapses = 299.69 |- Avg numPostSynapses = 299.69 + Local Network (17) |-+ Group List: |-+ Local Group exc1(G:54,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:0) |- End Id = (G:73999,L:1999) |- numPostSynapses = 600099 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:8000) |- End Id = (G:129899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:2000) |- End Id = (G:75999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600099 |-+ Local Group exc1(G:57,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:4000) |- End Id = (G:77999,L:5999) |- numPostSynapses = 600572 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:8100) |- End Id = (G:129999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:6000) |- End Id = (G:79999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 600572 |-+ Connection List: |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600099 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600572 |- Avg numPreSynapses = 300.29 |- Avg numPostSynapses = 300.29 + Local Network (18) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 600117 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:8000) |- End Id = (G:130099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600117 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 599775 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:8100) |- End Id = (G:130199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599775 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600117 |- Avg numPreSynapses = 300.06 |- Avg numPostSynapses = 300.06 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599775 |- Avg numPreSynapses = 299.89 |- Avg numPostSynapses = 299.89 + Local Network (19) |-+ Group List: |-+ Local Group exc1(G:66,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:0) |- End Id = (G:89999,L:1999) |- numPostSynapses = 600106 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:8000) |- End Id = (G:130299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:2000) |- End Id = (G:91999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600106 |-+ Local Group exc1(G:69,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:4000) |- End Id = (G:93999,L:5999) |- numPostSynapses = 599108 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:8100) |- End Id = (G:130399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:6000) |- End Id = (G:95999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599108 |-+ Connection List: |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600106 |- Avg numPreSynapses = 300.05 |- Avg numPostSynapses = 300.05 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599108 |- Avg numPreSynapses = 299.55 |- Avg numPostSynapses = 299.55 + Local Network (20) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 599961 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:8000) |- End Id = (G:130499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599961 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 601509 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:8100) |- End Id = (G:130599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 601509 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599961 |- Avg numPreSynapses = 299.98 |- Avg numPostSynapses = 299.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 601509 |- Avg numPreSynapses = 300.75 |- Avg numPostSynapses = 300.75 + Local Network (21) |-+ Group List: |-+ Local Group exc1(G:78,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:0) |- End Id = (G:105999,L:1999) |- numPostSynapses = 599935 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:8000) |- End Id = (G:130699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:2000) |- End Id = (G:107999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 599935 |-+ Local Group exc1(G:81,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:4000) |- End Id = (G:109999,L:5999) |- numPostSynapses = 599550 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:8100) |- End Id = (G:130799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:6000) |- End Id = (G:111999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599550 |-+ Connection List: |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599935 |- Avg numPreSynapses = 299.97 |- Avg numPostSynapses = 299.97 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599550 |- Avg numPreSynapses = 299.77 |- Avg numPostSynapses = 299.77 + Local Network (22) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 600466 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:8000) |- End Id = (G:130899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600466 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 599723 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:8100) |- End Id = (G:130999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599723 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600466 |- Avg numPreSynapses = 300.23 |- Avg numPostSynapses = 300.23 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599723 |- Avg numPreSynapses = 299.86 |- Avg numPostSynapses = 299.86 + Local Network (23) |-+ Group List: |-+ Local Group exc1(G:90,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:0) |- End Id = (G:121999,L:1999) |- numPostSynapses = 600565 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:8000) |- End Id = (G:131099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:2000) |- End Id = (G:123999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 600565 |-+ Local Group exc1(G:93,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:4000) |- End Id = (G:125999,L:5999) |- numPostSynapses = 599562 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:8100) |- End Id = (G:131199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:6000) |- End Id = (G:127999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 599562 |-+ Connection List: |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 600565 |- Avg numPreSynapses = 300.28 |- Avg numPostSynapses = 300.28 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.70970 |- Initial weight = 0.70970 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 599562 |- Avg numPreSynapses = 299.78 |- Avg numPostSynapses = 299.78 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ***************** Initializing CPU 8 Runtime ************************* ***************** Initializing CPU 9 Runtime ************************* ***************** Initializing CPU 10 Runtime ************************* ***************** Initializing CPU 11 Runtime ************************* ***************** Initializing CPU 12 Runtime ************************* ***************** Initializing CPU 13 Runtime ************************* ***************** Initializing CPU 14 Runtime ************************* ***************** Initializing CPU 15 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 16 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:29.240 00:00:29.239 00:00:29.240 | | runNetwork 00:00:29.240 00:03:04.909 00:02:35.669 00:03:04.909 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 25603403 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 155.67 sec Average Firing Rate: 2+ms delay = 10.494 Hz 1ms delay = inf Hz Overall = 20.515 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13432000 1ms delay = 13484006 Total = 26916006 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 800488 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:8000) |- End Id = (G:128099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800488 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 800514 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:8100) |- End Id = (G:128199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800514 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800488 |- Avg numPreSynapses = 400.24 |- Avg numPostSynapses = 400.24 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800514 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:6,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:0) |- End Id = (G:9999,L:1999) |- numPostSynapses = 800727 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:8000) |- End Id = (G:128299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:2000) |- End Id = (G:11999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800727 |-+ Local Group exc1(G:9,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:4000) |- End Id = (G:13999,L:5999) |- numPostSynapses = 800546 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:8100) |- End Id = (G:128399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:6000) |- End Id = (G:15999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800546 |-+ Connection List: |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800727 |- Avg numPreSynapses = 400.36 |- Avg numPostSynapses = 400.36 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800546 |- Avg numPreSynapses = 400.27 |- Avg numPostSynapses = 400.27 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 799785 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:8000) |- End Id = (G:128499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799785 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 800115 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:8100) |- End Id = (G:128599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800115 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799785 |- Avg numPreSynapses = 399.89 |- Avg numPostSynapses = 399.89 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800115 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:18,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:0) |- End Id = (G:25999,L:1999) |- numPostSynapses = 799686 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:8000) |- End Id = (G:128699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:2000) |- End Id = (G:27999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799686 |-+ Local Group exc1(G:21,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:4000) |- End Id = (G:29999,L:5999) |- numPostSynapses = 801618 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:8100) |- End Id = (G:128799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:6000) |- End Id = (G:31999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 801618 |-+ Connection List: |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799686 |- Avg numPreSynapses = 399.84 |- Avg numPostSynapses = 399.84 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801618 |- Avg numPreSynapses = 400.81 |- Avg numPostSynapses = 400.81 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 799710 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:8000) |- End Id = (G:128899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799710 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 800142 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:8100) |- End Id = (G:128999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800142 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799710 |- Avg numPreSynapses = 399.86 |- Avg numPostSynapses = 399.86 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800142 |- Avg numPreSynapses = 400.07 |- Avg numPostSynapses = 400.07 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:30,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:0) |- End Id = (G:41999,L:1999) |- numPostSynapses = 799139 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:8000) |- End Id = (G:129099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:2000) |- End Id = (G:43999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799139 |-+ Local Group exc1(G:33,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:4000) |- End Id = (G:45999,L:5999) |- numPostSynapses = 799400 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:8100) |- End Id = (G:129199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:6000) |- End Id = (G:47999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799400 |-+ Connection List: |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799139 |- Avg numPreSynapses = 399.57 |- Avg numPostSynapses = 399.57 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799400 |- Avg numPreSynapses = 399.70 |- Avg numPostSynapses = 399.70 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 801529 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:8000) |- End Id = (G:129299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 801529 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 799021 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:8100) |- End Id = (G:129399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799021 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 801529 |- Avg numPreSynapses = 400.76 |- Avg numPostSynapses = 400.76 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799021 |- Avg numPreSynapses = 399.51 |- Avg numPostSynapses = 399.51 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:42,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:0) |- End Id = (G:57999,L:1999) |- numPostSynapses = 800042 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:8000) |- End Id = (G:129499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:2000) |- End Id = (G:59999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800042 |-+ Local Group exc1(G:45,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:4000) |- End Id = (G:61999,L:5999) |- numPostSynapses = 799984 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:8100) |- End Id = (G:129599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:6000) |- End Id = (G:63999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799984 |-+ Connection List: |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800042 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799984 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 + Local Network (16) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 800361 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:8000) |- End Id = (G:129699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800361 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 799976 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:8100) |- End Id = (G:129799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799976 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800361 |- Avg numPreSynapses = 400.18 |- Avg numPostSynapses = 400.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799976 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 + Local Network (17) |-+ Group List: |-+ Local Group exc1(G:54,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:0) |- End Id = (G:73999,L:1999) |- numPostSynapses = 800127 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:8000) |- End Id = (G:129899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:2000) |- End Id = (G:75999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800127 |-+ Local Group exc1(G:57,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:4000) |- End Id = (G:77999,L:5999) |- numPostSynapses = 800492 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:8100) |- End Id = (G:129999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:6000) |- End Id = (G:79999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800492 |-+ Connection List: |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800127 |- Avg numPreSynapses = 400.06 |- Avg numPostSynapses = 400.06 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800492 |- Avg numPreSynapses = 400.25 |- Avg numPostSynapses = 400.25 + Local Network (18) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 799233 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:8000) |- End Id = (G:130099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799233 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 800226 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:8100) |- End Id = (G:130199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800226 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799233 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800226 |- Avg numPreSynapses = 400.11 |- Avg numPostSynapses = 400.11 + Local Network (19) |-+ Group List: |-+ Local Group exc1(G:66,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:0) |- End Id = (G:89999,L:1999) |- numPostSynapses = 800321 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:8000) |- End Id = (G:130299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:2000) |- End Id = (G:91999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800321 |-+ Local Group exc1(G:69,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:4000) |- End Id = (G:93999,L:5999) |- numPostSynapses = 799244 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:8100) |- End Id = (G:130399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:6000) |- End Id = (G:95999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799244 |-+ Connection List: |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800321 |- Avg numPreSynapses = 400.16 |- Avg numPostSynapses = 400.16 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799244 |- Avg numPreSynapses = 399.62 |- Avg numPostSynapses = 399.62 + Local Network (20) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 800166 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:8000) |- End Id = (G:130499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800166 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 800738 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:8100) |- End Id = (G:130599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 800738 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800166 |- Avg numPreSynapses = 400.08 |- Avg numPostSynapses = 400.08 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800738 |- Avg numPreSynapses = 400.37 |- Avg numPostSynapses = 400.37 + Local Network (21) |-+ Group List: |-+ Local Group exc1(G:78,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:0) |- End Id = (G:105999,L:1999) |- numPostSynapses = 800032 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:8000) |- End Id = (G:130699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:2000) |- End Id = (G:107999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800032 |-+ Local Group exc1(G:81,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:4000) |- End Id = (G:109999,L:5999) |- numPostSynapses = 799972 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:8100) |- End Id = (G:130799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:6000) |- End Id = (G:111999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799972 |-+ Connection List: |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800032 |- Avg numPreSynapses = 400.02 |- Avg numPostSynapses = 400.02 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799972 |- Avg numPreSynapses = 399.99 |- Avg numPostSynapses = 399.99 + Local Network (22) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 800516 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:8000) |- End Id = (G:130899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 800516 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 798495 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:8100) |- End Id = (G:130999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 798495 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 800516 |- Avg numPreSynapses = 400.26 |- Avg numPostSynapses = 400.26 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 798495 |- Avg numPreSynapses = 399.25 |- Avg numPostSynapses = 399.25 + Local Network (23) |-+ Group List: |-+ Local Group exc1(G:90,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:0) |- End Id = (G:121999,L:1999) |- numPostSynapses = 799737 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:8000) |- End Id = (G:131099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:2000) |- End Id = (G:123999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 799737 |-+ Local Group exc1(G:93,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:4000) |- End Id = (G:125999,L:5999) |- numPostSynapses = 799207 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:8100) |- End Id = (G:131199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:6000) |- End Id = (G:127999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 799207 |-+ Connection List: |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799737 |- Avg numPreSynapses = 399.87 |- Avg numPostSynapses = 399.87 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.55290 |- Initial weight = 0.55290 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 799207 |- Avg numPreSynapses = 399.60 |- Avg numPostSynapses = 399.60 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ***************** Initializing CPU 8 Runtime ************************* ***************** Initializing CPU 9 Runtime ************************* ***************** Initializing CPU 10 Runtime ************************* ***************** Initializing CPU 11 Runtime ************************* ***************** Initializing CPU 12 Runtime ************************* ***************** Initializing CPU 13 Runtime ************************* ***************** Initializing CPU 14 Runtime ************************* ***************** Initializing CPU 15 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 16 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.002 00:00:00.002 00:00:00.002 | | Setup Network 00:00:00.002 00:00:32.018 00:00:32.016 00:00:32.018 | | runNetwork 00:00:32.018 00:03:46.277 00:03:14.259 00:03:46.277 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 32001289 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 194.26 sec Average Firing Rate: 2+ms delay = 10.433 Hz 1ms delay = inf Hz Overall = 20.568 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13354000 1ms delay = 13631430 Total = 26985430 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1000601 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:8000) |- End Id = (G:128099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000601 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1001516 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:8100) |- End Id = (G:128199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1001516 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000601 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001516 |- Avg numPreSynapses = 500.76 |- Avg numPostSynapses = 500.76 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:6,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:0) |- End Id = (G:9999,L:1999) |- numPostSynapses = 1000561 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:8000) |- End Id = (G:128299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:2000) |- End Id = (G:11999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000561 |-+ Local Group exc1(G:9,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:4000) |- End Id = (G:13999,L:5999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:8100) |- End Id = (G:128399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:6000) |- End Id = (G:15999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Connection List: |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000561 |- Avg numPreSynapses = 500.28 |- Avg numPostSynapses = 500.28 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 999363 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:8000) |- End Id = (G:128499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 999363 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 999729 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:8100) |- End Id = (G:128599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999729 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999363 |- Avg numPreSynapses = 499.68 |- Avg numPostSynapses = 499.68 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999729 |- Avg numPreSynapses = 499.86 |- Avg numPostSynapses = 499.86 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:18,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:0) |- End Id = (G:25999,L:1999) |- numPostSynapses = 1000610 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:8000) |- End Id = (G:128699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:2000) |- End Id = (G:27999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000610 |-+ Local Group exc1(G:21,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:4000) |- End Id = (G:29999,L:5999) |- numPostSynapses = 1001773 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:8100) |- End Id = (G:128799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:6000) |- End Id = (G:31999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1001773 |-+ Connection List: |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000610 |- Avg numPreSynapses = 500.30 |- Avg numPostSynapses = 500.30 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001773 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 999288 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:8000) |- End Id = (G:128899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 999288 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 999766 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:8100) |- End Id = (G:128999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999766 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999288 |- Avg numPreSynapses = 499.64 |- Avg numPostSynapses = 499.64 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999766 |- Avg numPreSynapses = 499.88 |- Avg numPostSynapses = 499.88 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:30,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:0) |- End Id = (G:41999,L:1999) |- numPostSynapses = 999125 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:8000) |- End Id = (G:129099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:2000) |- End Id = (G:43999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 999125 |-+ Local Group exc1(G:33,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:4000) |- End Id = (G:45999,L:5999) |- numPostSynapses = 998917 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:8100) |- End Id = (G:129199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:6000) |- End Id = (G:47999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 998917 |-+ Connection List: |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999125 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998917 |- Avg numPreSynapses = 499.46 |- Avg numPostSynapses = 499.46 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 1001770 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:8000) |- End Id = (G:129299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1001770 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 999456 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:8100) |- End Id = (G:129399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999456 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001770 |- Avg numPreSynapses = 500.89 |- Avg numPostSynapses = 500.89 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999456 |- Avg numPreSynapses = 499.73 |- Avg numPostSynapses = 499.73 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:42,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:0) |- End Id = (G:57999,L:1999) |- numPostSynapses = 1000204 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:8000) |- End Id = (G:129499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:2000) |- End Id = (G:59999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000204 |-+ Local Group exc1(G:45,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:4000) |- End Id = (G:61999,L:5999) |- numPostSynapses = 1000018 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:8100) |- End Id = (G:129599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:6000) |- End Id = (G:63999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1000018 |-+ Connection List: |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000204 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000018 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 + Local Network (16) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 1000437 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:8000) |- End Id = (G:129699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000437 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 999987 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:8100) |- End Id = (G:129799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999987 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000437 |- Avg numPreSynapses = 500.22 |- Avg numPostSynapses = 500.22 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999987 |- Avg numPreSynapses = 499.99 |- Avg numPostSynapses = 499.99 + Local Network (17) |-+ Group List: |-+ Local Group exc1(G:54,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:0) |- End Id = (G:73999,L:1999) |- numPostSynapses = 1000027 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:8000) |- End Id = (G:129899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:2000) |- End Id = (G:75999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000027 |-+ Local Group exc1(G:57,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:4000) |- End Id = (G:77999,L:5999) |- numPostSynapses = 1000310 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:8100) |- End Id = (G:129999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:6000) |- End Id = (G:79999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1000310 |-+ Connection List: |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000027 |- Avg numPreSynapses = 500.01 |- Avg numPostSynapses = 500.01 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000310 |- Avg numPreSynapses = 500.15 |- Avg numPostSynapses = 500.15 + Local Network (18) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 998674 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:8000) |- End Id = (G:130099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 998674 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 1000359 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:8100) |- End Id = (G:130199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1000359 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998674 |- Avg numPreSynapses = 499.34 |- Avg numPostSynapses = 499.34 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000359 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 + Local Network (19) |-+ Group List: |-+ Local Group exc1(G:66,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:0) |- End Id = (G:89999,L:1999) |- numPostSynapses = 1000863 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:8000) |- End Id = (G:130299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:2000) |- End Id = (G:91999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000863 |-+ Local Group exc1(G:69,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:4000) |- End Id = (G:93999,L:5999) |- numPostSynapses = 999112 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:8100) |- End Id = (G:130399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:6000) |- End Id = (G:95999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999112 |-+ Connection List: |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000863 |- Avg numPreSynapses = 500.43 |- Avg numPostSynapses = 500.43 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999112 |- Avg numPreSynapses = 499.56 |- Avg numPostSynapses = 499.56 + Local Network (20) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 999955 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:8000) |- End Id = (G:130499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 999955 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 1001033 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:8100) |- End Id = (G:130599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1001033 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999955 |- Avg numPreSynapses = 499.98 |- Avg numPostSynapses = 499.98 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1001033 |- Avg numPreSynapses = 500.52 |- Avg numPostSynapses = 500.52 + Local Network (21) |-+ Group List: |-+ Local Group exc1(G:78,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:0) |- End Id = (G:105999,L:1999) |- numPostSynapses = 1000652 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:8000) |- End Id = (G:130699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:2000) |- End Id = (G:107999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000652 |-+ Local Group exc1(G:81,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:4000) |- End Id = (G:109999,L:5999) |- numPostSynapses = 1000352 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:8100) |- End Id = (G:130799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:6000) |- End Id = (G:111999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1000352 |-+ Connection List: |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000652 |- Avg numPreSynapses = 500.33 |- Avg numPostSynapses = 500.33 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000352 |- Avg numPreSynapses = 500.18 |- Avg numPostSynapses = 500.18 + Local Network (22) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 1000752 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:8000) |- End Id = (G:130899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000752 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 998480 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:8100) |- End Id = (G:130999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 998480 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000752 |- Avg numPreSynapses = 500.38 |- Avg numPostSynapses = 500.38 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 998480 |- Avg numPreSynapses = 499.24 |- Avg numPostSynapses = 499.24 + Local Network (23) |-+ Group List: |-+ Local Group exc1(G:90,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:0) |- End Id = (G:121999,L:1999) |- numPostSynapses = 1000202 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:8000) |- End Id = (G:131099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:2000) |- End Id = (G:123999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1000202 |-+ Local Group exc1(G:93,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:4000) |- End Id = (G:125999,L:5999) |- numPostSynapses = 999639 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:8100) |- End Id = (G:131199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:6000) |- End Id = (G:127999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 999639 |-+ Connection List: |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1000202 |- Avg numPreSynapses = 500.10 |- Avg numPostSynapses = 500.10 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.41090 |- Initial weight = 0.41090 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 999639 |- Avg numPreSynapses = 499.82 |- Avg numPostSynapses = 499.82 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ***************** Initializing CPU 8 Runtime ************************* ***************** Initializing CPU 9 Runtime ************************* ***************** Initializing CPU 10 Runtime ************************* ***************** Initializing CPU 11 Runtime ************************* ***************** Initializing CPU 12 Runtime ************************* ***************** Initializing CPU 13 Runtime ************************* ***************** Initializing CPU 14 Runtime ************************* ***************** Initializing CPU 15 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 16 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:35.623 00:00:35.622 00:00:35.623 | | runNetwork 00:00:35.623 00:04:30.595 00:03:54.972 00:04:30.595 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 38403297 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 234.97 sec Average Firing Rate: 2+ms delay = 10.470 Hz 1ms delay = inf Hz Overall = 20.291 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13402000 1ms delay = 13219598 Total = 26621598 ********************************************************************************* ********************************************************************************* ******************** Welcome to CARLsim 4.0 *************************** ********************************************************************************* ***************************** Configuring Network ******************************** Starting CARLsim simulation "benchmark" in USER mode Random number seed: 42 Running CUBA mode (all synaptic conductances disabled) ************************** Global Network Configuration ******************************* The number of neurons in the network (numN) = 131200 The number of regular neurons in the network (numNReg:numNExcReg:numNInhReg) = 128000:128000:0 The number of poisson neurons in the network (numNPois:numNExcPois:numInhPois) = 3200:3200:0 The maximum axonal delay in the network (maxDelay) = 20 CUDA devices Configuration: - Number of CUDA devices = 1 - CUDA device ID with max GFLOPs = 0 + Use CUDA device[0] = GeForce GT 750M + CUDA Compute Capability (CC) = 3.0 + Local Network (8) |-+ Group List: |-+ Local Group exc1(G:0,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:0,L:0) |- End Id = (G:1999,L:1999) |- numPostSynapses = 1200708 |- numPreSynapses = 200000 |-+ Local Group input(G:1,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128000,L:8000) |- End Id = (G:128099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:2,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:2000,L:2000) |- End Id = (G:3999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200708 |-+ Local Group exc1(G:3,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:4000,L:4000) |- End Id = (G:5999,L:5999) |- numPostSynapses = 1201329 |- numPreSynapses = 200000 |-+ Local Group input(G:4,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128100,L:8100) |- End Id = (G:128199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:5,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:6000,L:6000) |- End Id = (G:7999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1201329 |-+ Connection List: |-+ Local Connection Id 0: input(1) => exc1(0) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 1: exc1(0) => exc2(2) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200708 |- Avg numPreSynapses = 600.35 |- Avg numPostSynapses = 600.35 |-+ Local Connection Id 2: input(4) => exc1(3) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 3: exc1(3) => exc2(5) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201329 |- Avg numPreSynapses = 600.66 |- Avg numPostSynapses = 600.66 + Local Network (9) |-+ Group List: |-+ Local Group exc1(G:6,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:8000,L:0) |- End Id = (G:9999,L:1999) |- numPostSynapses = 1200484 |- numPreSynapses = 200000 |-+ Local Group input(G:7,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128200,L:8000) |- End Id = (G:128299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:8,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:10000,L:2000) |- End Id = (G:11999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200484 |-+ Local Group exc1(G:9,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:12000,L:4000) |- End Id = (G:13999,L:5999) |- numPostSynapses = 1199614 |- numPreSynapses = 200000 |-+ Local Group input(G:10,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128300,L:8100) |- End Id = (G:128399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:11,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:14000,L:6000) |- End Id = (G:15999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199614 |-+ Connection List: |-+ Local Connection Id 4: input(7) => exc1(6) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 5: exc1(6) => exc2(8) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200484 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 |-+ Local Connection Id 6: input(10) => exc1(9) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 7: exc1(9) => exc2(11) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199614 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 + Local Network (10) |-+ Group List: |-+ Local Group exc1(G:12,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:16000,L:0) |- End Id = (G:17999,L:1999) |- numPostSynapses = 1199401 |- numPreSynapses = 200000 |-+ Local Group input(G:13,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128400,L:8000) |- End Id = (G:128499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:14,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:18000,L:2000) |- End Id = (G:19999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199401 |-+ Local Group exc1(G:15,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:20000,L:4000) |- End Id = (G:21999,L:5999) |- numPostSynapses = 1200370 |- numPreSynapses = 200000 |-+ Local Group input(G:16,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128500,L:8100) |- End Id = (G:128599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:17,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:22000,L:6000) |- End Id = (G:23999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200370 |-+ Connection List: |-+ Local Connection Id 8: input(13) => exc1(12) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 9: exc1(12) => exc2(14) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199401 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 10: input(16) => exc1(15) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 11: exc1(15) => exc2(17) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200370 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 + Local Network (11) |-+ Group List: |-+ Local Group exc1(G:18,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:24000,L:0) |- End Id = (G:25999,L:1999) |- numPostSynapses = 1199993 |- numPreSynapses = 200000 |-+ Local Group input(G:19,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128600,L:8000) |- End Id = (G:128699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:20,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:26000,L:2000) |- End Id = (G:27999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199993 |-+ Local Group exc1(G:21,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:28000,L:4000) |- End Id = (G:29999,L:5999) |- numPostSynapses = 1201870 |- numPreSynapses = 200000 |-+ Local Group input(G:22,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128700,L:8100) |- End Id = (G:128799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:23,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:30000,L:6000) |- End Id = (G:31999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1201870 |-+ Connection List: |-+ Local Connection Id 12: input(19) => exc1(18) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 13: exc1(18) => exc2(20) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199993 |- Avg numPreSynapses = 600.00 |- Avg numPostSynapses = 600.00 |-+ Local Connection Id 14: input(22) => exc1(21) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 15: exc1(21) => exc2(23) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1201870 |- Avg numPreSynapses = 600.93 |- Avg numPostSynapses = 600.93 + Local Network (12) |-+ Group List: |-+ Local Group exc1(G:24,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:32000,L:0) |- End Id = (G:33999,L:1999) |- numPostSynapses = 1199542 |- numPreSynapses = 200000 |-+ Local Group input(G:25,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128800,L:8000) |- End Id = (G:128899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:26,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:34000,L:2000) |- End Id = (G:35999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199542 |-+ Local Group exc1(G:27,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:36000,L:4000) |- End Id = (G:37999,L:5999) |- numPostSynapses = 1200119 |- numPreSynapses = 200000 |-+ Local Group input(G:28,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:128900,L:8100) |- End Id = (G:128999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:29,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:38000,L:6000) |- End Id = (G:39999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200119 |-+ Connection List: |-+ Local Connection Id 16: input(25) => exc1(24) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 17: exc1(24) => exc2(26) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199542 |- Avg numPreSynapses = 599.77 |- Avg numPostSynapses = 599.77 |-+ Local Connection Id 18: input(28) => exc1(27) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 19: exc1(27) => exc2(29) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200119 |- Avg numPreSynapses = 600.06 |- Avg numPostSynapses = 600.06 + Local Network (13) |-+ Group List: |-+ Local Group exc1(G:30,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:40000,L:0) |- End Id = (G:41999,L:1999) |- numPostSynapses = 1199399 |- numPreSynapses = 200000 |-+ Local Group input(G:31,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129000,L:8000) |- End Id = (G:129099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:32,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:42000,L:2000) |- End Id = (G:43999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199399 |-+ Local Group exc1(G:33,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:44000,L:4000) |- End Id = (G:45999,L:5999) |- numPostSynapses = 1198565 |- numPreSynapses = 200000 |-+ Local Group input(G:34,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129100,L:8100) |- End Id = (G:129199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:35,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:46000,L:6000) |- End Id = (G:47999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1198565 |-+ Connection List: |-+ Local Connection Id 20: input(31) => exc1(30) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 21: exc1(30) => exc2(32) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199399 |- Avg numPreSynapses = 599.70 |- Avg numPostSynapses = 599.70 |-+ Local Connection Id 22: input(34) => exc1(33) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 23: exc1(33) => exc2(35) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198565 |- Avg numPreSynapses = 599.28 |- Avg numPostSynapses = 599.28 + Local Network (14) |-+ Group List: |-+ Local Group exc1(G:36,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:48000,L:0) |- End Id = (G:49999,L:1999) |- numPostSynapses = 1202097 |- numPreSynapses = 200000 |-+ Local Group input(G:37,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129200,L:8000) |- End Id = (G:129299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:38,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:50000,L:2000) |- End Id = (G:51999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1202097 |-+ Local Group exc1(G:39,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:52000,L:4000) |- End Id = (G:53999,L:5999) |- numPostSynapses = 1199707 |- numPreSynapses = 200000 |-+ Local Group input(G:40,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129300,L:8100) |- End Id = (G:129399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:41,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:54000,L:6000) |- End Id = (G:55999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199707 |-+ Connection List: |-+ Local Connection Id 24: input(37) => exc1(36) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 25: exc1(36) => exc2(38) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1202097 |- Avg numPreSynapses = 601.05 |- Avg numPostSynapses = 601.05 |-+ Local Connection Id 26: input(40) => exc1(39) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 27: exc1(39) => exc2(41) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199707 |- Avg numPreSynapses = 599.85 |- Avg numPostSynapses = 599.85 + Local Network (15) |-+ Group List: |-+ Local Group exc1(G:42,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:56000,L:0) |- End Id = (G:57999,L:1999) |- numPostSynapses = 1200457 |- numPreSynapses = 200000 |-+ Local Group input(G:43,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129400,L:8000) |- End Id = (G:129499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:44,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:58000,L:2000) |- End Id = (G:59999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200457 |-+ Local Group exc1(G:45,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:60000,L:4000) |- End Id = (G:61999,L:5999) |- numPostSynapses = 1199626 |- numPreSynapses = 200000 |-+ Local Group input(G:46,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129500,L:8100) |- End Id = (G:129599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:47,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:62000,L:6000) |- End Id = (G:63999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199626 |-+ Connection List: |-+ Local Connection Id 28: input(43) => exc1(42) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 29: exc1(42) => exc2(44) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200457 |- Avg numPreSynapses = 600.23 |- Avg numPostSynapses = 600.23 |-+ Local Connection Id 30: input(46) => exc1(45) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 31: exc1(45) => exc2(47) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199626 |- Avg numPreSynapses = 599.81 |- Avg numPostSynapses = 599.81 + Local Network (16) |-+ Group List: |-+ Local Group exc1(G:48,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:64000,L:0) |- End Id = (G:65999,L:1999) |- numPostSynapses = 1200354 |- numPreSynapses = 200000 |-+ Local Group input(G:49,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129600,L:8000) |- End Id = (G:129699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:50,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:66000,L:2000) |- End Id = (G:67999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200354 |-+ Local Group exc1(G:51,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:68000,L:4000) |- End Id = (G:69999,L:5999) |- numPostSynapses = 1199297 |- numPreSynapses = 200000 |-+ Local Group input(G:52,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129700,L:8100) |- End Id = (G:129799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:53,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:70000,L:6000) |- End Id = (G:71999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199297 |-+ Connection List: |-+ Local Connection Id 32: input(49) => exc1(48) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 33: exc1(48) => exc2(50) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200354 |- Avg numPreSynapses = 600.18 |- Avg numPostSynapses = 600.18 |-+ Local Connection Id 34: input(52) => exc1(51) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 35: exc1(51) => exc2(53) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199297 |- Avg numPreSynapses = 599.65 |- Avg numPostSynapses = 599.65 + Local Network (17) |-+ Group List: |-+ Local Group exc1(G:54,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:72000,L:0) |- End Id = (G:73999,L:1999) |- numPostSynapses = 1200239 |- numPreSynapses = 200000 |-+ Local Group input(G:55,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129800,L:8000) |- End Id = (G:129899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:56,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:74000,L:2000) |- End Id = (G:75999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200239 |-+ Local Group exc1(G:57,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:76000,L:4000) |- End Id = (G:77999,L:5999) |- numPostSynapses = 1200224 |- numPreSynapses = 200000 |-+ Local Group input(G:58,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:129900,L:8100) |- End Id = (G:129999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:59,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:78000,L:6000) |- End Id = (G:79999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200224 |-+ Connection List: |-+ Local Connection Id 36: input(55) => exc1(54) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 37: exc1(54) => exc2(56) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200239 |- Avg numPreSynapses = 600.12 |- Avg numPostSynapses = 600.12 |-+ Local Connection Id 38: input(58) => exc1(57) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 39: exc1(57) => exc2(59) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200224 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 + Local Network (18) |-+ Group List: |-+ Local Group exc1(G:60,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:80000,L:0) |- End Id = (G:81999,L:1999) |- numPostSynapses = 1198456 |- numPreSynapses = 200000 |-+ Local Group input(G:61,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130000,L:8000) |- End Id = (G:130099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:62,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:82000,L:2000) |- End Id = (G:83999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1198456 |-+ Local Group exc1(G:63,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:84000,L:4000) |- End Id = (G:85999,L:5999) |- numPostSynapses = 1200212 |- numPreSynapses = 200000 |-+ Local Group input(G:64,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130100,L:8100) |- End Id = (G:130199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:65,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:86000,L:6000) |- End Id = (G:87999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200212 |-+ Connection List: |-+ Local Connection Id 40: input(61) => exc1(60) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 41: exc1(60) => exc2(62) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198456 |- Avg numPreSynapses = 599.23 |- Avg numPostSynapses = 599.23 |-+ Local Connection Id 42: input(64) => exc1(63) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 43: exc1(63) => exc2(65) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200212 |- Avg numPreSynapses = 600.11 |- Avg numPostSynapses = 600.11 + Local Network (19) |-+ Group List: |-+ Local Group exc1(G:66,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:88000,L:0) |- End Id = (G:89999,L:1999) |- numPostSynapses = 1200751 |- numPreSynapses = 200000 |-+ Local Group input(G:67,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130200,L:8000) |- End Id = (G:130299,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:68,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:90000,L:2000) |- End Id = (G:91999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200751 |-+ Local Group exc1(G:69,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:92000,L:4000) |- End Id = (G:93999,L:5999) |- numPostSynapses = 1199644 |- numPreSynapses = 200000 |-+ Local Group input(G:70,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130300,L:8100) |- End Id = (G:130399,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:71,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:94000,L:6000) |- End Id = (G:95999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199644 |-+ Connection List: |-+ Local Connection Id 44: input(67) => exc1(66) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 45: exc1(66) => exc2(68) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200751 |- Avg numPreSynapses = 600.38 |- Avg numPostSynapses = 600.38 |-+ Local Connection Id 46: input(70) => exc1(69) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 47: exc1(69) => exc2(71) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199644 |- Avg numPreSynapses = 599.82 |- Avg numPostSynapses = 599.82 + Local Network (20) |-+ Group List: |-+ Local Group exc1(G:72,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:96000,L:0) |- End Id = (G:97999,L:1999) |- numPostSynapses = 1200563 |- numPreSynapses = 200000 |-+ Local Group input(G:73,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130400,L:8000) |- End Id = (G:130499,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:74,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:98000,L:2000) |- End Id = (G:99999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200563 |-+ Local Group exc1(G:75,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:100000,L:4000) |- End Id = (G:101999,L:5999) |- numPostSynapses = 1200570 |- numPreSynapses = 200000 |-+ Local Group input(G:76,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130500,L:8100) |- End Id = (G:130599,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:77,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:102000,L:6000) |- End Id = (G:103999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200570 |-+ Connection List: |-+ Local Connection Id 48: input(73) => exc1(72) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 49: exc1(72) => exc2(74) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200563 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 |-+ Local Connection Id 50: input(76) => exc1(75) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 51: exc1(75) => exc2(77) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200570 |- Avg numPreSynapses = 600.28 |- Avg numPostSynapses = 600.28 + Local Network (21) |-+ Group List: |-+ Local Group exc1(G:78,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:104000,L:0) |- End Id = (G:105999,L:1999) |- numPostSynapses = 1200593 |- numPreSynapses = 200000 |-+ Local Group input(G:79,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130600,L:8000) |- End Id = (G:130699,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:80,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:106000,L:2000) |- End Id = (G:107999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1200593 |-+ Local Group exc1(G:81,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:108000,L:4000) |- End Id = (G:109999,L:5999) |- numPostSynapses = 1200473 |- numPreSynapses = 200000 |-+ Local Group input(G:82,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130700,L:8100) |- End Id = (G:130799,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:83,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:110000,L:6000) |- End Id = (G:111999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1200473 |-+ Connection List: |-+ Local Connection Id 52: input(79) => exc1(78) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 53: exc1(78) => exc2(80) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200593 |- Avg numPreSynapses = 600.30 |- Avg numPostSynapses = 600.30 |-+ Local Connection Id 54: input(82) => exc1(81) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 55: exc1(81) => exc2(83) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1200473 |- Avg numPreSynapses = 600.24 |- Avg numPostSynapses = 600.24 + Local Network (22) |-+ Group List: |-+ Local Group exc1(G:84,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:112000,L:0) |- End Id = (G:113999,L:1999) |- numPostSynapses = 1199680 |- numPreSynapses = 200000 |-+ Local Group input(G:85,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130800,L:8000) |- End Id = (G:130899,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:86,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:114000,L:2000) |- End Id = (G:115999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199680 |-+ Local Group exc1(G:87,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:116000,L:4000) |- End Id = (G:117999,L:5999) |- numPostSynapses = 1198291 |- numPreSynapses = 200000 |-+ Local Group input(G:88,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:130900,L:8100) |- End Id = (G:130999,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:89,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:118000,L:6000) |- End Id = (G:119999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1198291 |-+ Connection List: |-+ Local Connection Id 56: input(85) => exc1(84) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 57: exc1(84) => exc2(86) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199680 |- Avg numPreSynapses = 599.84 |- Avg numPostSynapses = 599.84 |-+ Local Connection Id 58: input(88) => exc1(87) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 59: exc1(87) => exc2(89) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1198291 |- Avg numPreSynapses = 599.15 |- Avg numPostSynapses = 599.15 + Local Network (23) |-+ Group List: |-+ Local Group exc1(G:90,L:0): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:120000,L:0) |- End Id = (G:121999,L:1999) |- numPostSynapses = 1199458 |- numPreSynapses = 200000 |-+ Local Group input(G:91,L:4): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131000,L:8000) |- End Id = (G:131099,L:8099) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:92,L:1): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:122000,L:2000) |- End Id = (G:123999,L:3999) |- numPostSynapses = 0 |- numPreSynapses = 1199458 |-+ Local Group exc1(G:93,L:2): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:124000,L:4000) |- End Id = (G:125999,L:5999) |- numPostSynapses = 1199933 |- numPreSynapses = 200000 |-+ Local Group input(G:94,L:5): |- Type = EXCIT |- Num of Neurons = 100 |- Start Id = (G:131100,L:8100) |- End Id = (G:131199,L:8199) |- numPostSynapses = 200000 |- numPreSynapses = 0 |- Refractory period = 0.00000 |-+ Local Group exc2(G:95,L:3): |- Type = EXCIT |- Num of Neurons = 2000 |- Start Id = (G:126000,L:6000) |- End Id = (G:127999,L:7999) |- numPostSynapses = 0 |- numPreSynapses = 1199933 |-+ Connection List: |-+ Local Connection Id 60: input(91) => exc1(90) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 61: exc1(90) => exc2(92) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199458 |- Avg numPreSynapses = 599.73 |- Avg numPostSynapses = 599.73 |-+ Local Connection Id 62: input(94) => exc1(93) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 6.50000 |- Initial weight = 6.50000 |- Min delay = 1 |- Max delay = 1 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 200000 |- Avg numPreSynapses = 100.00 |- Avg numPostSynapses = 2000.00 |-+ Local Connection Id 63: exc1(93) => exc2(95) |- Type = FIXED |- Min weight = 0.00000 |- Max weight = 0.34550 |- Initial weight = 0.34550 |- Min delay = 1 |- Max delay = 20 |- Radius X = -1.00 |- Radius Y = -1.00 |- Radius Z = -1.00 |- Num of synapses = 1199933 |- Avg numPreSynapses = 599.97 |- Avg numPostSynapses = 599.97 ***************** Initializing CPU 0 Runtime ************************* ***************** Initializing CPU 1 Runtime ************************* ***************** Initializing CPU 2 Runtime ************************* ***************** Initializing CPU 3 Runtime ************************* ***************** Initializing CPU 4 Runtime ************************* ***************** Initializing CPU 5 Runtime ************************* ***************** Initializing CPU 6 Runtime ************************* ***************** Initializing CPU 7 Runtime ************************* ***************** Initializing CPU 8 Runtime ************************* ***************** Initializing CPU 9 Runtime ************************* ***************** Initializing CPU 10 Runtime ************************* ***************** Initializing CPU 11 Runtime ************************* ***************** Initializing CPU 12 Runtime ************************* ***************** Initializing CPU 13 Runtime ************************* ***************** Initializing CPU 14 Runtime ************************* ***************** Initializing CPU 15 Runtime ************************* ******************** Running the simulation on 0 GPU(s) and 16 CPU(s) *************************** -------------------------------------------------------------------------------- | Stopwatch | |------------------------------------------------------------------------------| | Tag Start Stop Lap Total | | start 00:00:00.000 00:00:00.001 00:00:00.001 00:00:00.001 | | Setup Network 00:00:00.001 00:00:39.171 00:00:39.170 00:00:39.171 | | runNetwork 00:00:39.171 00:05:01.481 00:04:22.310 00:05:01.481 | -------------------------------------------------------------------------------- ******************** Simulation Summary *************************** Network Parameters: numNeurons = 131200 (numNExcReg:numNInhReg = 97.6:0.0) numSynapses = 44802019 maxDelay = 20 Simulation Mode: CUBA Random Seed: 42 Timing: Model Simulation Time = 10 sec Actual Execution Time = 262.31 sec Average Firing Rate: 2+ms delay = 10.434 Hz 1ms delay = inf Hz Overall = 20.276 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13356000 1ms delay = 13246099 Total = 26602099 *********************************************************************************