Editorial: Deciphering population neuronal dynamics: from theories to experiments

Yang, H., Shew, W.L., Yu, S. et al. (3 more authors) (2023) Editorial: Deciphering population neuronal dynamics: from theories to experiments. Frontiers in Systems Neuroscience, 17. 1193488. ISSN 1662-5137

Metadata

Item Type: Article
Authors/Creators:
  • Yang, H.
  • Shew, W.L.
  • Yu, S.
  • Luczak, A.
  • Stringer, C.
  • Okun, M.
Copyright, Publisher and Additional Information:

© 2023 Yang, Shew, Yu, Luczak, Stringer and Okun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. (https://creativecommons.org/licenses/by/4.0/)
Keywords: population dynamics; criticality; gamma oscillation; E/I balance; recurrent neural network (RNN)
Dates:
  • Published (online): 20 April 2023
  • Accepted: 4 April 2023
  • 20 April 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 10 May 2023 15:31
Last Modified: 10 May 2023 15:31
Status: Published
Publisher: Frontiers Media SA
Refereed: Yes
Identification Number: 10.3389/fnsys.2023.1193488
Open Archives Initiative ID (OAI ID):

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