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figures/

All python code responsible for helping make figures can be found here. Additionally, a description of how each figure was made, whether with scripts in this directory or not, is provided.

figures_misc contains figures that were generated with code in the analyses directory, whereas python_outputs houses figures generated by the python scripts in this directory.

For convenience, statistics related to each figure are printed when that figure is generated.

Figure 1

Experimental design

Images come directly from the fLoc stimulus set described in Stigliani et al., 2015 and linked online. They are copied to figures_misc/figure_1_images/ for convenience.

Figure 2

Visualization of likely veins and ROI definitions on the cortical surface of a representative participant's right-hemisphere VTC

EPI images are generated from analyses/03a_epi_maps_redoutline/main.m, the participant shown is S1, (FSID: C1051). The raw images for each depth are copied to figures_misc/figure_2_images/ for convenience.

Figure 3

Validation of the Fourier-based smoothing method for simulating 2.4mm acquisitions
  • Panels A, C: outputs from analyses/04_maps/main.m and are compiled with figure_3ac_3t_zscore_maps.py
  • Panel B: RSMs are generated with figure_3b_rdm_comparison.py

Figure 4

Category preference maps in VTC shown on the inflated cortical surface of participant S1

Panel A: figure_4a_zscore_maps.py: right hemisphere only for all 10 categories Panel B: figure_4b_zscore_maps_both_hemis.py: both hemispheres shown across depth for a single category

Figure 5

Hypothetical representational structures

figures/figure_5.py

Figure 6

Group-averaged RDMs, RSMs, and MDS embeddings in each ROI

figures/figure_6_group_average_rdms.py

Figure 7

Fitting RDMs with model RDMs

Panel A: figures/figure_7a_rdm_fit_diagram.py: schematic of how RDMs are fit with a real example Panel B: figures/figure_7b_rdm_fits.py: RDM fits scatter plot

Figure 8

Representational structure varies with cortical depth

Panels A-F: figures/figure_8af_average_rdms_by_depth.py: Plots RDMs for each depth and ROI Panels G and H: figures/figure_8gh_rdm_fits_by_depth.py: RDM fits and summary statistics across depth (10x10 RDMs)

Figure 9

Representational structure across domains

figures/figure_9_rdm_fits_by_domain.py: Plots mean within-category and between-category dissimilarity for each VTC partition, domain, and depth

Figure 10

Signal properties across depth

Panel A and B: figure_10ab_tsnr_R2.py plots the mean tSNR and R^2 across subjects for each depth and VTC partition Panel C: figure_10c_metric_means.py plots the ROI-average percent signal change for each depth and each category for lateral and medial VTC

Figure 11

Comparison of representational structure of VTC at ultra-high-resolution and standard- resolution

figure_11_rescomp.py plots rdms and rdm fits for the high-resolution, low-resolution, and noise-added low resolution data

Figure 12

Comparison of GLM metrics

figure_12_metric_comparison.py plots rdms and rdm fits for six different metrics one could compute

Figure 12

Comparison of GLM metrics

figure_12_metric_comparison.py plots rdms and rdm fits for six different metrics one could compute