Orthogonal Representations of Object Shape and Category in Deep Convolutional Neural Networks and Human Visual Cortex.

For Set A, across all networks, Layer has a highly significant main effect and Condition is also significant (Table 2 ) which suggests that correlation values can be predicted given the CNN layer and the condition of interest (shape or category information).

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