Supplementary Material

Figure 1b shows the average noise ceiling values for every area. As noted in section 3.3, the CPC loss function relies on predicting the future latent representations ANNs that are trained with two other supervised loss functions: supervised object categorization (ImageNet dataset) and supervised action recognition (UCF101 dataset). All the models are compared based on their representation alignment with different areas of mouse visual cortex (see section 3.2), and by using downstream tasks (see For training the deep ANNs, we use the UCF101 dataset. Brain Observatory presented to the mice. As noted in section 3.3, we examine the two pathways of our trained ResNet-2p on two downstream For each downstream task, the weights of the trained pathways are frozen and a linear classifier is trained on the final convolutional layer of each pathway.