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Inductive biases of neural networks for generalization in spatial navigation

View ORCID ProfileRuiyi Zhang, View ORCID ProfileXaq Pitkow, Dora E Angelaki
doi: https://doi.org/10.1101/2022.12.07.519515
Ruiyi Zhang
1Department of Mechanical and Aerospace Engineering, New York University
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  • For correspondence: rz31@nyu.edu
Xaq Pitkow
3Department of Neuroscience, Baylor College of Medicine
4Department of Electrical and Computer Engineering, Rice University
5Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine
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Dora E Angelaki
1Department of Mechanical and Aerospace Engineering, New York University
2Center for Neural Science, New York University
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Article Information

doi 
https://doi.org/10.1101/2022.12.07.519515
History 
  • December 7, 2022.

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  • You are currently viewing Version 1 of this article (December 7, 2022 - 20:14).
  • View Version 2, the most recent version of this article.
Copyright 
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-ND 4.0 International license.

Author Information

  1. Ruiyi Zhang1,*,
  2. Xaq Pitkow3,4,5,6 and
  3. Dora E Angelaki1,2,6
  1. 1Department of Mechanical and Aerospace Engineering, New York University
  2. 2Center for Neural Science, New York University
  3. 3Department of Neuroscience, Baylor College of Medicine
  4. 4Department of Electrical and Computer Engineering, Rice University
  5. 5Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine
  1. ↵* Corresponding author; email: rz31{at}nyu.edu
  1. ↵6 Contributed equally as co-senior authors

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Posted December 07, 2022.
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Inductive biases of neural networks for generalization in spatial navigation
Ruiyi Zhang, Xaq Pitkow, Dora E Angelaki
bioRxiv 2022.12.07.519515; doi: https://doi.org/10.1101/2022.12.07.519515
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Inductive biases of neural networks for generalization in spatial navigation
Ruiyi Zhang, Xaq Pitkow, Dora E Angelaki
bioRxiv 2022.12.07.519515; doi: https://doi.org/10.1101/2022.12.07.519515

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