Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks

Zheng, Y, Jia, S, Yu, Z et al. (2 more authors) (2021) Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks. Patterns, 2 (10). 100350. p. 100350. ISSN 2666-3899

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

©2021 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Keywords: convolutional neural network; recurrent neural network; neural coding; visual coding; retina; video analysis
Dates:
  • Published: 8 October 2021
  • Published (online): 17 September 2021
  • Accepted: 23 August 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 12 Oct 2021 12:36
Last Modified: 12 Oct 2021 12:36
Status: Published
Publisher: Cell Press
Identification Number: 10.1016/j.patter.2021.100350
Open Archives Initiative ID (OAI ID):

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