Deep-learning models reveal how context and listener attention shape electrophysiological correlates of speech-to-language transformation

• Andrew J. Anderson ,

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

  * E-mail: andanderson@mcw.edu

  Affiliations Department of Neurology. Medical College of Wisconsin, Milwaukee, Wisconsin United States of America, Department of Biomedical Engineering. Medical College of Wisconsin. Milwaukee, Wisconsin United States of America, Department of Neurosurgery. Medical College of Wisconsin. Milwaukee, Wisconsin United States of America, Department of Neuroscience and Del Monte Institute for Neuroscience, University of Rochester, Rochester, New York, United States of America

  https://orcid.org/0000-0003-0316-9787

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• Chris Davis,

  Roles Conceptualization, Funding acquisition, Writing – review & editing

  Affiliation Western Sydney University, The MARCS Institute for Brain, Behaviour and Development, Westmead Innovation Quarter, Westmead, New South Wales, Australia

  https://orcid.org/0000-0002-6387-4181

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• Edmund C. Lalor

  Roles Conceptualization, Funding acquisition, Resources, Writing – review & editing

  Affiliations Department of Neuroscience and Del Monte Institute for Neuroscience, University of Rochester, Rochester, New York, United States of America, Department of Biomedical Engineering, University of Rochester, Rochester, New York, United States of America, Center for Visual Science, University of Rochester, Rochester, New York, United States of America

  https://orcid.org/0000-0002-2498-6631

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