Robust deep learning object recognition models rely on low frequency information in natural images

• Zhe Li ,

  Contributed equally to this work with: Zhe Li, Josue Ortega Caro

  Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing

  * E-mail: zhel@bcm.edu (ZL); astolias@bcm.edu (AST); xaq@rice.edu (XP)

  Affiliation Department of Neuroscience, Baylor College of Medicine, Houston, Texas, United States of America

  https://orcid.org/0000-0003-4176-9687

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• Josue Ortega Caro ,

  Contributed equally to this work with: Zhe Li, Josue Ortega Caro

  Roles Conceptualization, Data curation, Formal analysis, Writing – original draft, Writing – review & editing

  Affiliation Department of Neuroscience, Baylor College of Medicine, Houston, Texas, United States of America

  https://orcid.org/0000-0001-7061-1112

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• Evgenia Rusak,

  Roles Resources, Writing – review & editing

  Affiliation University of Tübingen, Germany

  https://orcid.org/0000-0001-6039-7781

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• Wieland Brendel,

  Roles Resources, Writing – review & editing

  Affiliation University of Tübingen, Germany

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• Matthias Bethge,

  Roles Writing – review & editing

  Affiliation University of Tübingen, Germany

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• Fabio Anselmi,

  Roles Writing – review & editing

  Affiliation Department of Neuroscience, Baylor College of Medicine, Houston, Texas, United States of America

  https://orcid.org/0000-0002-0264-4761

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• Ankit B. Patel ,

  Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

  ¶‡ABP, AST, and XP also contributed equally to this work.

  Affiliations Department of Neuroscience, Baylor College of Medicine, Houston, Texas, United States of America, Department of Electrical and Computer Engineering, Rice University, Houston, Texas, United States of America, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America

  https://orcid.org/0000-0001-9678-496X

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• Andreas S. Tolias ,

  Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: zhel@bcm.edu (ZL); astolias@bcm.edu (AST); xaq@rice.edu (XP)

  ¶‡ABP, AST, and XP also contributed equally to this work.

  Affiliations Department of Neuroscience, Baylor College of Medicine, Houston, Texas, United States of America, Department of Electrical and Computer Engineering, Rice University, Houston, Texas, United States of America, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America

  https://orcid.org/0000-0002-4305-6376

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• Xaq Pitkow

  Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: zhel@bcm.edu (ZL); astolias@bcm.edu (AST); xaq@rice.edu (XP)

  ¶‡ABP, AST, and XP also contributed equally to this work.

  Affiliations Department of Neuroscience, Baylor College of Medicine, Houston, Texas, United States of America, Department of Electrical and Computer Engineering, Rice University, Houston, Texas, United States of America, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America

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