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

Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu; David Malcolm Halliday; Andrew Martin Tyrrell; Jonathan Ian Timmis; Alan Gregory Millard; Anju Pulikkakudi Johnson

doi:10.1109/ISCAS.2018.8351512

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

Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David Malcolm Halliday, Andrew Martin Tyrrell, Jonathan Ian Timmis, Alan Gregory Millard, Anju Pulikkakudi Johnson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	978-1-5386-4881-0
ISBN (Print)	978-1-5386-4882-7
DOIs	https://doi.org/10.1109/ISCAS.2018.8351512
Publication status	Published - 4 May 2018

Publication series

Name	IEEE International Conference on Circuits and Systems.
Publisher	IEEE
ISSN (Print)	2379-447X

Bibliographical note

©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

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10.1109/ISCAS.2018.8351512

PID5226235
©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
Accepted author manuscript, 1.49 MB

https://ieeexplore.ieee.org/document/8351512/

Self-repairing hardware paradigms based on astrocyte-neuron models
Halliday, D. M., Timmis, J. & Tyrrell, A.
EPSRC
1/10/15 → 31/10/19
Project: Research project (funded) › Research

Cite this

Karim, S., Harkin, J., McDaid, L., Gardiner, B., Liu, J., Halliday, D. M., Tyrrell, A. M., Timmis, J. I., Millard, A. G., & Johnson, A. P. (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. https://doi.org/10.1109/ISCAS.2018.8351512

@inproceedings{1ba7109cab9f4cfc8f8794a0eb6d3d26,

title = "FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware",

author = "Shvan Karim and Jim Harkin and Liam McDaid and Bryan Gardiner and Junxiu Liu and Halliday, {David Malcolm} and Tyrrell, {Andrew Martin} and Timmis, {Jonathan Ian} and Millard, {Alan Gregory} and Johnson, {Anju Pulikkakudi}",

note = "{\textcopyright}2018 IEEE. This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details",

year = "2018",

month = may,

day = "4",

doi = "10.1109/ISCAS.2018.8351512",

language = "English",

isbn = "978-1-5386-4882-7",

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Karim, S, Harkin, J, McDaid, L, Gardiner, B, Liu, J, Halliday, DM , Tyrrell, AM , Timmis, JI , Millard, AG & Johnson, AP 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. https://doi.org/10.1109/ISCAS.2018.8351512

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware

AU - Karim, Shvan

AU - Harkin, Jim

AU - McDaid, Liam

AU - Gardiner, Bryan

AU - Liu, Junxiu

AU - Halliday, David Malcolm

AU - Tyrrell, Andrew Martin

AU - Timmis, Jonathan Ian

AU - Millard, Alan Gregory

AU - Johnson, Anju Pulikkakudi

N1 - ©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

PY - 2018/5/4

Y1 - 2018/5/4

U2 - 10.1109/ISCAS.2018.8351512

DO - 10.1109/ISCAS.2018.8351512

M3 - Conference contribution

SN - 978-1-5386-4882-7

T3 - IEEE International Conference on Circuits and Systems.

BT - 2018 IEEE International Symposium on Circuits and Systems (ISCAS)

PB - IEEE

ER -

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

Publication series

Bibliographical note

Access to Document

Projects

Self-repairing hardware paradigms based on astrocyte-neuron models

Cite this