Nonlinear mixed selectivity supports reliable neural computation

• W. Jeffrey Johnston ,

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: wjeffreyjohnston@gmail.com

  Affiliations Graduate Program in Computational Neuroscience, The University of Chicago, Chicago, Illinois, United States of America, Department of Neurobiology, The University of Chicago, Chicago, Illinois, United States of America

  http://orcid.org/0000-0002-4725-8602

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• Stephanie E. Palmer ,

  Contributed equally to this work with: Stephanie E. Palmer, David J. Freedman

  Roles Methodology, Project administration, Supervision, Writing – review & editing

  Affiliations Graduate Program in Computational Neuroscience, The University of Chicago, Chicago, Illinois, United States of America, Grossman Institute for Neuroscience, Quantitative Biology, and Human Behavior, The University of Chicago, Chicago, Illinois, United States of America, Department of Organismal Biology and Anatomy, The University of Chicago, Chicago, Illinois, United States of America, Department of Physics, The University of Chicago, Chicago, Illinois, United States of America

  http://orcid.org/0000-0001-6211-6293

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• David J. Freedman

  Contributed equally to this work with: Stephanie E. Palmer, David J. Freedman

  Roles Project administration, Resources, Supervision, Writing – review & editing

  Affiliations Graduate Program in Computational Neuroscience, The University of Chicago, Chicago, Illinois, United States of America, Department of Neurobiology, The University of Chicago, Chicago, Illinois, United States of America, Grossman Institute for Neuroscience, Quantitative Biology, and Human Behavior, The University of Chicago, Chicago, Illinois, United States of America

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