Nature Communications (Jan 2022)
A self-supervised domain-general learning framework for human ventral stream representation
Abstract
It is unknown whether object category learning can be formed purely through domain general learning of natural image structure. Here the authors show that human visual brain responses to objects are well-captured by self-supervised deep neural network models trained without labels, supporting a domain-general account.