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Recurrent neural network models of multi-area computation underlying decision-making

Michael Kleinman, View ORCID ProfileChandramouli Chandrasekaran, Jonathan C. Kao
doi: https://doi.org/10.1101/798553
Michael Kleinman
aDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA
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Chandramouli Chandrasekaran
bDepartment of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA
cDepartment of Psychological and Brain Sciences, Boston University, Boston, MA, USA
dCenter for Systems Neuroscience, Boston University, Boston, MA, USA
eDepartment of Biomedical Engineering, Boston University, Boston, MA, USA
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  • For correspondence: kao@seas.ucla.edu cchandr1@bu.edu
Jonathan C. Kao
aDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA
fNeurosciences Program, University of California, Los Angeles, CA, USA
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  • For correspondence: kao@seas.ucla.edu cchandr1@bu.edu
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Posted November 06, 2020.
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Recurrent neural network models of multi-area computation underlying decision-making
Michael Kleinman, Chandramouli Chandrasekaran, Jonathan C. Kao
bioRxiv 798553; doi: https://doi.org/10.1101/798553
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Recurrent neural network models of multi-area computation underlying decision-making
Michael Kleinman, Chandramouli Chandrasekaran, Jonathan C. Kao
bioRxiv 798553; doi: https://doi.org/10.1101/798553

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