FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware

Karim, Shvan, Harkin, Jim, McDaid, Liam et al. (7 more authors) (2018) FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE International Conference on Circuits and Systems. . IEEE .

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Copyright, Publisher and Additional Information: ©2018 IEEE. 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: 24 January 2018
  • Published: 4 May 2018
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: 27 Jul 2018 09:30
Last Modified: 31 Jan 2024 01:32
Published Version: https://doi.org/10.1109/ISCAS.2018.8351512
Status: Published
Publisher: IEEE
Series Name: IEEE International Conference on Circuits and Systems.
Refereed: No
Identification Number: https://doi.org/10.1109/ISCAS.2018.8351512
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