Nature Communications (Jan 2022)

A self-supervised domain-general learning framework for human ventral stream representation

  • Talia Konkle,
  • George A. Alvarez

Journal volume & issue
Vol. 13, no. 1
pp. 1 – 12


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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.