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A latent variable approach to decoding neural population activity

Matthew R Whiteway, View ORCID ProfileBruno Averbeck, View ORCID ProfileDaniel A Butts
doi: https://doi.org/10.1101/2020.01.06.896423
Matthew R Whiteway
1Program in Applied Mathematics & Statistics, and Scientific Computation, University of Maryland, College Park, MD
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  • For correspondence: m.whiteway@columbia.edu
Bruno Averbeck
2Laboratory of Neuropsychology, Section on Learning & Decision Making, NIMH/NIH, Bethesda, MD
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Daniel A Butts
1Program in Applied Mathematics & Statistics, and Scientific Computation, University of Maryland, College Park, MD
3Department of Biology and Program in Neuroscience and Cognitive Sciences, University of Maryland, College Park, MD
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Posted January 07, 2020.
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A latent variable approach to decoding neural population activity
Matthew R Whiteway, Bruno Averbeck, Daniel A Butts
bioRxiv 2020.01.06.896423; doi: https://doi.org/10.1101/2020.01.06.896423
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A latent variable approach to decoding neural population activity
Matthew R Whiteway, Bruno Averbeck, Daniel A Butts
bioRxiv 2020.01.06.896423; doi: https://doi.org/10.1101/2020.01.06.896423

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