Figure 3
From: Emergence of Visual Center-Periphery Spatial Organization in Deep Convolutional Neural Networks
Topographical correspondence between convolutional layers of DCNNs and human ventral visual regions. For each brain-model mapping (EVC, Fusiform, IT, PHC), the first five maps show the correlational topographical maps between each convolutional layer and the brain ROI; the second five maps show the corresponding significance maps (two-sided sign permutation tests, cluster defining threshold P < 0.01, and corrected significance level P < 0.05). The topographical correlation maps in this figure are computed following the method depicted in Fig. 2. For detailed description of RDM computations and correlations please see the Method section.
