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Using DNNs to understand the primate vision: A shortcut or a distraction?

Published online by Cambridge University Press:  06 December 2023

Yaoda Xu Open the ORCID record for Yaoda Xu [Opens in a new window]  and
Maryam Vaziri-Pashkam
Yaoda Xu
Affiliation:
Department of Psychology, Yale University, New Haven, CT, USA yaoda.xu@yale.edu, https://sites.google.com/view/yaodaxu/home
Maryam Vaziri-Pashkam
Affiliation:
National Institute of Mental Health, Bethesda, MD, USA maryam.vaziri-pashkam@nih.gov, https://mvaziri.github.io/Homepage/Bio.html
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Abstract

Bowers et al. bring forward critical issues in the current use of deep neural networks (DNNs) to model primate vision. Our own research further reveals fundamentally different algorithms utilized by DNNs for visual processing compared to the brain. It is time to reemphasize the value of basic vision research and put more resources and effort on understanding the primate brain itself.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e413
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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