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Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network

View ORCID ProfileHyodong Lee, View ORCID ProfileEshed Margalit, Kamila M. Jozwik, Michael A. Cohen, View ORCID ProfileNancy Kanwisher, Daniel L. K. Yamins, View ORCID ProfileJames J. DiCarlo
doi: https://doi.org/10.1101/2020.07.09.185116
Hyodong Lee
aMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
bDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
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  • ORCID record for Hyodong Lee
Eshed Margalit
cNeurosciences Graduate Program, Stanford University
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Kamila M. Jozwik
aMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
dDepartment of Psychology, University of Cambridge
gCenter for Brains, Minds and Machines, Massachusetts Institute of Technology
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Michael A. Cohen
aMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
eDepartment of Psychology and Program in Neuroscience, Amherst College
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Nancy Kanwisher
aMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
gCenter for Brains, Minds and Machines, Massachusetts Institute of Technology
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Daniel L. K. Yamins
fDepartment of Psychology, Department of Computer Science, and Wu Tsai Neurosciences Institute, Stanford University
gCenter for Brains, Minds and Machines, Massachusetts Institute of Technology
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James J. DiCarlo
aMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
gCenter for Brains, Minds and Machines, Massachusetts Institute of Technology
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  • ORCID record for James J. DiCarlo
  • For correspondence: dicarlo@mit.edu
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Article Information

doi 
https://doi.org/10.1101/2020.07.09.185116
History 
  • July 10, 2020.
Copyright 
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-NC-ND 4.0 International license.

Author Information

  1. Hyodong Leea,b,
  2. Eshed Margalitc,
  3. Kamila M. Jozwika,d,g,
  4. Michael A. Cohena,e,
  5. Nancy Kanwishera,g,
  6. Daniel L. K. Yaminsf,g and
  7. James J. DiCarloa,g,1
  1. aMcGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
  2. bDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
  3. cNeurosciences Graduate Program, Stanford University
  4. dDepartment of Psychology, University of Cambridge
  5. eDepartment of Psychology and Program in Neuroscience, Amherst College
  6. fDepartment of Psychology, Department of Computer Science, and Wu Tsai Neurosciences Institute, Stanford University
  7. gCenter for Brains, Minds and Machines, Massachusetts Institute of Technology
  1. ↵1To whom correspondence should be addressed. E-mail: dicarlo{at}mit.edu
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Posted July 10, 2020.
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Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network
Hyodong Lee, Eshed Margalit, Kamila M. Jozwik, Michael A. Cohen, Nancy Kanwisher, Daniel L. K. Yamins, James J. DiCarlo
bioRxiv 2020.07.09.185116; doi: https://doi.org/10.1101/2020.07.09.185116
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Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network
Hyodong Lee, Eshed Margalit, Kamila M. Jozwik, Michael A. Cohen, Nancy Kanwisher, Daniel L. K. Yamins, James J. DiCarlo
bioRxiv 2020.07.09.185116; doi: https://doi.org/10.1101/2020.07.09.185116

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