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Baseline control of optimal performance in recurrent neural networks

Shun Ogawa, Francesco Fumarola, Luca Mazzucato
doi: https://doi.org/10.1101/2022.05.11.491436

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doi 
https://doi.org/10.1101/2022.05.11.491436
History 
  • May 11, 2022.
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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. All rights reserved. No reuse allowed without permission.

Author Information

  1. Shun Ogawa1,†,
  2. Francesco Fumarola1,† and
  3. Luca Mazzucato2,*
  1. 1Laboratory for Neural Computation and Adaptation, RIKEN Center for Brain Science, Hirosawa, Wako, Saitama 351-0198, Japan
  2. 2Institute of Neuroscience and Departments of Biology, Mathematics and Physics, University of Oregon,Eugene, OR 97403, USA
  1. ↵*lmazzuca{at}uoregon.edu

  1. ↵† Equal contributors.

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Posted May 11, 2022.
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Baseline control of optimal performance in recurrent neural networks
Shun Ogawa, Francesco Fumarola, Luca Mazzucato
bioRxiv 2022.05.11.491436; doi: https://doi.org/10.1101/2022.05.11.491436
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