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Disentangled deep generative models reveal coding principles of the human face processing network

Paul Soulos, Leyla Isik
doi: https://doi.org/10.1101/2023.02.15.528489

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doi 
https://doi.org/10.1101/2023.02.15.528489
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  • February 15, 2023.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

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  1. Paul Soulos1,* and
  2. Leyla Isik1
  1. 1Department of Cognitive Science, Johns Hopkins University
  1. ↵*Corresponding author; email: psoulos1{at}jhu.edu
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Posted February 15, 2023.
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Disentangled deep generative models reveal coding principles of the human face processing network
Paul Soulos, Leyla Isik
bioRxiv 2023.02.15.528489; doi: https://doi.org/10.1101/2023.02.15.528489
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