Created results directory "results/". ********************************************************************************* ******************** 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 GTX 770 + 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 00:00:00.003 00:00:00.003 00:00:00.003 | | Setup Network 00:00:00.003 00:01:15.795 00:01:15.792 00:01:15.795 | | runNetwork 00:01:15.795 00:05:35.549 00:04:19.754 00:05:35.549 | -------------------------------------------------------------------------------- ******************** 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 = 259.75 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 GTX 770 + 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 00:00:00.003 00:00:00.003 00:00:00.003 | | Setup Network 00:00:00.003 00:01:20.688 00:01:20.685 00:01:20.688 | | runNetwork 00:01:20.688 00:06:44.211 00:05:23.523 00:06:44.211 | -------------------------------------------------------------------------------- ******************** 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 = 323.52 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 GTX 770 + 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 00:00:00.002 00:00:00.002 00:00:00.002 | | Setup Network 00:00:00.002 00:01:13.533 00:01:13.531 00:01:13.533 | | runNetwork 00:01:13.533 00:03:59.873 00:02:46.340 00:03:59.873 | -------------------------------------------------------------------------------- ******************** 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 = 166.34 sec Average Firing Rate: 2+ms delay = 10.327 Hz 1ms delay = inf Hz Overall = 20.273 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13218000 1ms delay = 13380293 Total = 26598293 ********************************************************************************* ********************************************************************************* ******************** 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 GTX 770 + 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 00:00:00.002 00:00:00.002 00:00:00.002 | | Setup Network 00:00:00.002 00:01:23.041 00:01:23.039 00:01:23.041 | | runNetwork 00:01:23.041 00:04:49.251 00:03:26.210 00:04:49.251 | -------------------------------------------------------------------------------- ******************** 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 = 206.21 sec Average Firing Rate: 2+ms delay = 10.347 Hz 1ms delay = inf Hz Overall = 20.406 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13244000 1ms delay = 13528370 Total = 26772370 ********************************************************************************* ********************************************************************************* ******************** 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 GTX 770 + 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 00:00:00.002 00:00:00.002 00:00:00.002 | | Setup Network 00:00:00.002 00:01:12.647 00:01:12.645 00:01:12.647 | | runNetwork 00:01:12.647 00:03:13.883 00:02:01.236 00:03:13.883 | -------------------------------------------------------------------------------- ******************** 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 = 121.24 sec Average Firing Rate: 2+ms delay = 10.534 Hz 1ms delay = inf Hz Overall = 20.595 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13484000 1ms delay = 13537211 Total = 27021211 ********************************************************************************* ********************************************************************************* ******************** 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 GTX 770 + 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 00:00:00.003 00:00:00.003 00:00:00.003 | | Setup Network 00:00:00.003 00:01:20.367 00:01:20.364 00:01:20.367 | | runNetwork 00:01:20.367 00:03:52.756 00:02:32.389 00:03:52.756 | -------------------------------------------------------------------------------- ******************** 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 = 152.39 sec Average Firing Rate: 2+ms delay = 10.631 Hz 1ms delay = inf Hz Overall = 20.914 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13608000 1ms delay = 13831270 Total = 27439270 ********************************************************************************* ********************************************************************************* ******************** 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 GTX 770 + 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 00:01:09.845 00:01:09.844 00:01:09.845 | | runNetwork 00:01:09.845 00:03:22.185 00:02:12.340 00:03:22.185 | -------------------------------------------------------------------------------- ******************** 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 = 132.34 sec Average Firing Rate: 2+ms delay = 10.544 Hz 1ms delay = inf Hz Overall = 20.615 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13496000 1ms delay = 13550355 Total = 27046355 ********************************************************************************* ********************************************************************************* ******************** 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 GTX 770 + 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 00:00:00.003 00:00:00.003 00:00:00.003 | | Setup Network 00:00:00.003 00:01:12.544 00:01:12.541 00:01:12.544 | | runNetwork 00:01:12.544 00:04:03.438 00:02:50.894 00:04:03.438 | -------------------------------------------------------------------------------- ******************** 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 = 170.89 sec Average Firing Rate: 2+ms delay = 10.517 Hz 1ms delay = inf Hz Overall = 20.739 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13462000 1ms delay = 13747171 Total = 27209171 ********************************************************************************* ********************************************************************************* ******************** 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 GTX 770 + 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 00:00:00.003 00:00:00.003 00:00:00.003 | | Setup Network 00:00:00.003 00:01:04.544 00:01:04.541 00:01:04.544 | | runNetwork 00:01:04.544 00:03:43.441 00:02:38.897 00:03:43.441 | -------------------------------------------------------------------------------- ******************** 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 = 158.90 sec Average Firing Rate: 2+ms delay = 10.380 Hz 1ms delay = inf Hz Overall = 20.367 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13286000 1ms delay = 13435374 Total = 26721374 ********************************************************************************* ********************************************************************************* ******************** 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 GTX 770 + 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 00:00:00.003 00:00:00.003 00:00:00.003 | | Setup Network 00:00:00.003 00:01:13.205 00:01:13.202 00:01:13.205 | | runNetwork 00:01:13.205 00:04:29.833 00:03:16.628 00:04:29.833 | -------------------------------------------------------------------------------- ******************** 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 = 196.63 sec Average Firing Rate: 2+ms delay = 10.309 Hz 1ms delay = inf Hz Overall = 20.360 Hz Overall Spike Count Transferred: 2+ms delay = 0 1ms delay = 0 Overall Spike Count: 2+ms delay = 13196000 1ms delay = 13516721 Total = 26712721 *********************************************************************************