  The Algonauts challenge is about predicting the object representations in the
form of Representational Dissimilarity Matrices (RDMS) derived from visual
brain regions. We used a customized deep learning model using the concept of
Siamese networks and group convolutions to predict neural distances
corresponding to a pair of images. Training data was best explained by
distances computed over the last layer.
