Homeostatic Fault Tolerance in Spiking Neural Networks : A Dynamic Hardware Perspective

Johnson, Anju Pulikkakudi orcid.org/0000-0002-7017-1644, Liu, Junxiu, Millard, Alan Gregory orcid.org/0000-0002-4424-5953 et al. (6 more authors) (2017) Homeostatic Fault Tolerance in Spiking Neural Networks : A Dynamic Hardware Perspective. Ieee transactions on circuits and systems i-Regular papers. pp. 1-13. ISSN 1549-8328

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Authors/Creators:
Dates:
  • Published: 28 July 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 17 Aug 2017 13:15
Last Modified: 12 Jul 2019 23:58
Published Version: https://doi.org/10.1109/TCSI.2017.2726763
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1109/TCSI.2017.2726763
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Description: Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective

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