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A lexical approach for identifying behavioral action sequences
View ORCID ProfileGautam Reddy, Laura Desban, Hidenori Tanaka, Julian Roussel, Olivier Mirat, Claire Wyart
doi: https://doi.org/10.1101/2020.08.27.270694
Gautam Reddy
1NSF-Simons Center for Mathematical & Statistical Analysis of Biology, Harvard University, Cambridge, MA 02138
Laura Desban
2Institut du Cerveau (ICM), Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
Hidenori Tanaka
3Physics & Informatics Laboratories, NTT Research, Inc., East Palo Alto, CA 94303
4Department of Applied Physics, Stanford University, Stanford, CA 94305
Julian Roussel
2Institut du Cerveau (ICM), Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
Olivier Mirat
2Institut du Cerveau (ICM), Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
Claire Wyart
2Institut du Cerveau (ICM), Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
Posted August 27, 2020.
A lexical approach for identifying behavioral action sequences
Gautam Reddy, Laura Desban, Hidenori Tanaka, Julian Roussel, Olivier Mirat, Claire Wyart
bioRxiv 2020.08.27.270694; doi: https://doi.org/10.1101/2020.08.27.270694
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