Interrogating theoretical models of neural computation with deep inference

Sean R. Bittner; Agostina Palmigiano; Alex T. Piet; Chunyu A. Duan; Carlos D. Brody; Kenneth D. Miller; John P. Cunningham

doi:10.1101/837567

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Interrogating theoretical models of neural computation with deep inference

Sean R. Bittner, Agostina Palmigiano, Alex T. Piet, Chunyu A. Duan, Carlos D. Brody, Kenneth D. Miller, John P. Cunningham

doi: https://doi.org/10.1101/837567

Sean R. Bittner

Department of Neuroscience, Columbia University

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Agostina Palmigiano

Department of Neuroscience, Columbia University

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Alex T. Piet

Princeton Neuroscience Institute

Princeton University

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Chunyu A. Duan

Institute of Neuroscience, Chinese Academy of Sciences

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Carlos D. Brody

Princeton Neuroscience Institute

Princeton University

Howard Hughes Medical Institute

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Kenneth D. Miller

Department of Neuroscience, Columbia University

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John P. Cunningham

Department of Statistics, Columbia University

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For correspondence: jpc2181@columbia.edu

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Posted November 18, 2019.

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Interrogating theoretical models of neural computation with deep inference

Sean R. Bittner, Agostina Palmigiano, Alex T. Piet, Chunyu A. Duan, Carlos D. Brody, Kenneth D. Miller, John P. Cunningham

bioRxiv 837567; doi: https://doi.org/10.1101/837567

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Interrogating theoretical models of neural computation with deep inference

Sean R. Bittner, Agostina Palmigiano, Alex T. Piet, Chunyu A. Duan, Carlos D. Brody, Kenneth D. Miller, John P. Cunningham

bioRxiv 837567; doi: https://doi.org/10.1101/837567

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