Examining Representational Similarity in ConvNets and the Primate Visual Cortex

Abstract

We compare several ConvNets with different depth and regularization techniques with multi-unit macaque IT cortex recordings and assess the impact of the same on representational similarity with the primate visual cortex. We find that with increasing depth and validation performance, ConvNet features are closer to cortical IT representations.

4 pages, short abstract, Accepted to the Workshop on Biological and Artificial Vision, ECCV, 2016

References in corpus (2)

• Very Deep Convolutional Networks for Large-Scale Image Recognition
• Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Cited by in corpus (1)

• Human perception in computer vision