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
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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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: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Funding Information: | Funder Grant number EPSRC EP/N007050/1 |
Depositing User: | Pure (York) |
Date Deposited: | 27 Jul 2018 09:30 |
Last Modified: | 16 Oct 2024 10:59 |
Published Version: | https://doi.org/10.1109/ISCAS.2018.8351512 |
Status: | Published |
Publisher: | IEEE |
Series Name: | IEEE International Conference on Circuits and Systems. |
Identification Number: | 10.1109/ISCAS.2018.8351512 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133909 |