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Deep convolutional models improve predictions of macaque V1 responses to natural images.

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Title: Deep convolutional models improve predictions of macaque V1 responses to natural images.
Authors: Cadena SA; Centre for Integrative Neuroscience and Institute for Theoretical Physics, University of Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Tübingen, Germany.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America., Denfield GH; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.; Department of Neuroscience, Baylor College of Medicine, Houston, Houston, Texas, United States of America., Walker EY; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.; Department of Neuroscience, Baylor College of Medicine, Houston, Houston, Texas, United States of America., Gatys LA; Centre for Integrative Neuroscience and Institute for Theoretical Physics, University of Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Tübingen, Germany., Tolias AS; Bernstein Center for Computational Neuroscience, Tübingen, Germany.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.; Department of Neuroscience, Baylor College of Medicine, Houston, Houston, Texas, United States of America.; Department of Electrical and Computer Engineering, Rice University, Houston, Houston, Texas, United States of America., Bethge M; Centre for Integrative Neuroscience and Institute for Theoretical Physics, University of Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Tübingen, Germany.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.; Max Planck Institute for Biological Cybernetics, Tübingen, Germany., Ecker AS; Centre for Integrative Neuroscience and Institute for Theoretical Physics, University of Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Tübingen, Germany.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2019 Apr 23; Vol. 15 (4), pp. e1006897. Date of Electronic Publication: 2019 Apr 23 (Print Publication: 2019).
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep convolutional models improve predictions of macaque V1 responses to natural images.
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  Data: <searchLink fieldCode="AU" term="%22Cadena+SA%22">Cadena SA</searchLink>; Centre for Integrative Neuroscience and Institute for Theoretical Physics, University of Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Tübingen, Germany.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.<br /><searchLink fieldCode="AU" term="%22Denfield+GH%22">Denfield GH</searchLink>; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.; Department of Neuroscience, Baylor College of Medicine, Houston, Houston, Texas, United States of America.<br /><searchLink fieldCode="AU" term="%22Walker+EY%22">Walker EY</searchLink>; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.; Department of Neuroscience, Baylor College of Medicine, Houston, Houston, Texas, United States of America.<br /><searchLink fieldCode="AU" term="%22Gatys+LA%22">Gatys LA</searchLink>; Centre for Integrative Neuroscience and Institute for Theoretical Physics, University of Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Tübingen, Germany.<br /><searchLink fieldCode="AU" term="%22Tolias+AS%22">Tolias AS</searchLink>; Bernstein Center for Computational Neuroscience, Tübingen, Germany.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.; Department of Neuroscience, Baylor College of Medicine, Houston, Houston, Texas, United States of America.; Department of Electrical and Computer Engineering, Rice University, Houston, Houston, Texas, United States of America.<br /><searchLink fieldCode="AU" term="%22Bethge+M%22">Bethge M</searchLink>; Centre for Integrative Neuroscience and Institute for Theoretical Physics, University of Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Tübingen, Germany.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.; Max Planck Institute for Biological Cybernetics, Tübingen, Germany.<br /><searchLink fieldCode="AU" term="%22Ecker+AS%22">Ecker AS</searchLink>; Centre for Integrative Neuroscience and Institute for Theoretical Physics, University of Tübingen, Tübingen, Germany.; Bernstein Center for Computational Neuroscience, Tübingen, Germany.; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, Texas, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2019 Apr 23; Vol. 15 (4), pp. e1006897. <i>Date of Electronic Publication: </i>2019 Apr 23 (<i>Print Publication: </i>2019).
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  Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
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              Text: 2019 Apr 23
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