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Unsupervised Bayesian Ising Approximation for revealing the neural dictionary in songbirds

Damián G. Hernández, Samuel J. Sober, Ilya Nemenman
doi: https://doi.org/10.1101/849034
Damián G. Hernández
1Department of Medical Physics, Centro Atómico Bariloche and Instituto Balseiro, Bariloche 8400, Argentina
2Department of Physics, Emory University, Atlanta, GA 30322, USA
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Samuel J. Sober
3Department of Biology, Emory University, Atlanta, GA 30322, USA
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Ilya Nemenman
2Department of Physics, Emory University, Atlanta, GA 30322, USA
3Department of Biology, Emory University, Atlanta, GA 30322, USA
4Initiative in Theory and Modeling of Living Systems, Atlanta, GA 30322, USA
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  • For correspondence: ilya.nemenman@emory.edu
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Posted November 20, 2019.
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Unsupervised Bayesian Ising Approximation for revealing the neural dictionary in songbirds
Damián G. Hernández, Samuel J. Sober, Ilya Nemenman
bioRxiv 849034; doi: https://doi.org/10.1101/849034
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Unsupervised Bayesian Ising Approximation for revealing the neural dictionary in songbirds
Damián G. Hernández, Samuel J. Sober, Ilya Nemenman
bioRxiv 849034; doi: https://doi.org/10.1101/849034

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