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Where is all the nonlinearity: flexible nonlinear modeling of behaviorally relevant neural dynamics using recurrent neural networks

View ORCID ProfileOmid G. Sani, View ORCID ProfileBijan Pesaran, View ORCID ProfileMaryam M. Shanechi
doi: https://doi.org/10.1101/2021.09.03.458628
Omid G. Sani
1Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
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Bijan Pesaran
2Center for Neural Science, New York University, New York City, New York, USA
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Maryam M. Shanechi
1Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
3Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA
4Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA
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  • For correspondence: shanechi@usc.edu
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Posted September 06, 2021.
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Where is all the nonlinearity: flexible nonlinear modeling of behaviorally relevant neural dynamics using recurrent neural networks
Omid G. Sani, Bijan Pesaran, Maryam M. Shanechi
bioRxiv 2021.09.03.458628; doi: https://doi.org/10.1101/2021.09.03.458628
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Where is all the nonlinearity: flexible nonlinear modeling of behaviorally relevant neural dynamics using recurrent neural networks
Omid G. Sani, Bijan Pesaran, Maryam M. Shanechi
bioRxiv 2021.09.03.458628; doi: https://doi.org/10.1101/2021.09.03.458628

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