Editorial: Focus issue on energy-efficient neuromorphic devices, systems and algorithms

Mehonic, A. orcid.org/0000-0002-2476-5038, Frenkel, C. and Vasilaki, E. orcid.org/0000-0003-3705-7070 (2023) Editorial: Focus issue on energy-efficient neuromorphic devices, systems and algorithms. Neuromorphic Computing and Engineering, 3 (4). 040201. ISSN 2634-4386

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Item Type: Article
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© 2023 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. https://creativecommons.org/licenses/by/4.0/
Dates:
  • Published: December 2023
  • Published (online): 31 October 2023
  • Accepted: 25 October 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 06 Nov 2023 10:49
Last Modified: 06 Nov 2023 10:49
Status: Published
Publisher: IOP Publishing
Refereed: Yes
Identification Number: 10.1088/2634-4386/ad06cb
Open Archives Initiative ID (OAI ID):

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