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Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice

Aiwen Xu, Yuchen Hou, Cristopher M. Niell, Michael Beyeler
doi: https://doi.org/10.1101/2023.05.30.542912

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doi 
https://doi.org/10.1101/2023.05.30.542912
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  • May 30, 2023.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Aiwen Xu1,*,
  2. Yuchen Hou1,
  3. Cristopher M. Niell2 and
  4. Michael Beyeler3
  1. 1Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA 93117
  2. 2Department of Biology, Institute of Neuroscience, University of Oregon, Eugene, OR 97403
  3. 3Department of Computer Science, Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA 93117
  1. ↵*aiwenxu{at}ucsb.edu
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Posted May 30, 2023.
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Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice
Aiwen Xu, Yuchen Hou, Cristopher M. Niell, Michael Beyeler
bioRxiv 2023.05.30.542912; doi: https://doi.org/10.1101/2023.05.30.542912
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