Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks

Yan, Q, Zheng, Y, Jia, S et al. (6 more authors) (2022) Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Transactions on Cybernetics, 52 (1). pp. 39-50. ISSN 2168-2267

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Biological system modeling; Computational modeling; Data models; Integrated circuit modeling; Retina; Training; Visualization
Dates:
  • Accepted: 4 February 2020
  • Published (online): 10 March 2020
  • Published: 1 January 2022
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: 14 Jul 2021 09:12
Last Modified: 27 Jul 2022 02:06
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/tcyb.2020.2972983

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