Fig. 7.

RDM correlation of the deep supervised convolutional network with brain ROIs across the visual hierarchy. Bars show the average of ten $12\times 12$ RDM correlations (120 test stimuli in total) between different layers of the deep convolutional network with each of the brain ROIs. There are two bars for each layer of the model: the fixed RSA (model-not fitted), and the mixed RSA (voxel RF-fitted). The grey horizontal line in each panel indicates the inter-subject brain RDM correlation for the given ROI. The colour-coded statistical significance matrices show whether any of the two models perform significantly differently in explaining the corresponding reference brain ROI (FDR corrected at 0.05). The statistical analyses and conventions here are analogous to Fig. 4.