Noise-trained deep neural networks effectively predict human vision and its neural responses to challenging images

• Hojin Jang ,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: hojin.jang@vanderbilt.edu (HJ); frank.tong@vanderbilt.edu (FT)

  Affiliation Psychology Department and Vanderbilt Vision Research Center, Vanderbilt University, Nashville, Tennessee, United States of America

  https://orcid.org/0000-0002-1756-1467

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• Devin McCormack,

  Roles Data curation, Software

  Affiliation Psychology Department and Vanderbilt Vision Research Center, Vanderbilt University, Nashville, Tennessee, United States of America

  https://orcid.org/0000-0002-1412-2039

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• Frank Tong

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

  * E-mail: hojin.jang@vanderbilt.edu (HJ); frank.tong@vanderbilt.edu (FT)

  Affiliation Psychology Department and Vanderbilt Vision Research Center, Vanderbilt University, Nashville, Tennessee, United States of America

  https://orcid.org/0000-0002-3437-1331

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