Homeostatic Fault Tolerance in Spiking Neural Networks utilizing Dynamic Partial Reconfiguration of FPGAs

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) (Accepted: 2017) Homeostatic Fault Tolerance in Spiking Neural Networks utilizing Dynamic Partial Reconfiguration of FPGAs. In: The International Conference on Field-Programmable Technology (FPT-2017). IEEE . (In Press)

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Item Type: Proceedings Paper
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This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Dates:
  • Accepted: 15 September 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Funding Information:
FunderGrant number
EPSRCEP/N007050/1
Depositing User: Pure (York)
Date Deposited: 09 Nov 2017 14:33
Last Modified: 19 Apr 2024 23:04
Status: In Press
Publisher: IEEE
Refereed: No

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