Unsupervised deep convolutional neural network model for the ventral visual stream.

We use python=3.7.4.

tensorflow_gpu==1.15.0, tensorflow whose version is bigger than or equal to 1.9.0 and smaller than 2.0.0 should suffice for most of our network training. However, SimCLR training requires tensorflow==1.15.0.

The reproduction is done in three steps: preparing datasets needed for training, training networks, evaluating the trained networks using neural data.

To prepare datasets, see scripts in prepare_datasets. To run the following two steps, you need to first install this package (like pip install -e ./). For neural network training, see scripts in unsup_vvs/network_training folder.
For neural data evaluation, see scripts in unsup_vvs/neural_fit folder. For using pretrained checkpoints to generate responses on images, see README in unsup_vvs/neural_fit folder.