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个人简介
Biography
Dr. John D. Murray is an Associate Professor in the Department of Psychiatry. Dr. Murray completed a PhD in Physics from Yale University, with research in the field of computational neuroscience, followed by postdoctoral research at New York University in the Center for Neural Science. He joined the faculty at Yale in 2015.
Research Summary
Research in the Murray Lab focuses on investigating the dynamics and function of neural circuits, and their dysfunction in psychiatric and neurological disorders. To investigate these issues, we develop modeling, theoretical, and data-analytic approaches to systems neuroscience, in close collaboration with experimentalists. We build biophysically-based neural circuit models that span levels of scale and complexity, ranging from detailed microcircuitry supporting cognitive function, to large-scale brain dynamics. Furthermore, we leverage computational insights from models to advance the study of disorders such as schizophrenia, in a framework for Computational Psychiatry.
Research Interests
Cognition; Computer Simulation; Decision Making; Interneurons; Memory, Short-Term; Schizophrenia; Prefrontal Cortex; Computational Biology; Functional Neuroimaging
Dr. John D. Murray is an Associate Professor in the Department of Psychiatry. Dr. Murray completed a PhD in Physics from Yale University, with research in the field of computational neuroscience, followed by postdoctoral research at New York University in the Center for Neural Science. He joined the faculty at Yale in 2015.
Research Summary
Research in the Murray Lab focuses on investigating the dynamics and function of neural circuits, and their dysfunction in psychiatric and neurological disorders. To investigate these issues, we develop modeling, theoretical, and data-analytic approaches to systems neuroscience, in close collaboration with experimentalists. We build biophysically-based neural circuit models that span levels of scale and complexity, ranging from detailed microcircuitry supporting cognitive function, to large-scale brain dynamics. Furthermore, we leverage computational insights from models to advance the study of disorders such as schizophrenia, in a framework for Computational Psychiatry.
Research Interests
Cognition; Computer Simulation; Decision Making; Interneurons; Memory, Short-Term; Schizophrenia; Prefrontal Cortex; Computational Biology; Functional Neuroimaging
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eLife (2024)
Biological Psychiatryno. 10 (2024): S53
bioRxiv : the preprint server for biology (2023)
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Nature human behaviourno. 3 (2023): 442-463
bioRxiv : the preprint server for biology (2023)
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NEUROPSYCHOPHARMACOLOGY (2023): 329-329
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