Decomposing deep neural network-brain representational similarity reveals distinct sources across the human visual hierarchy
Deep neural networks predict neural responses across the visual hierarchy, yet published alignment scores do not reveal whether this correspondence reflects learned representations, architectural inductive biases, low-level image statistics, or categorical structure. We decompose DNN-brain alignment into four sources...