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

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

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

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

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

Original language	English
Title of host publication	The International Conference on Field-Programmable Technology (FPT-2017)
Publisher	IEEE
Publication status	Accepted/In press - 15 Sept 2017

Bibliographical note

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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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, 348 KB

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

@inproceedings{c3a462e2ad344b1f87861010fa418046,

title = "Homeostatic Fault Tolerance in Spiking Neural Networks utilizing Dynamic Partial Reconfiguration of FPGAs",

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

note = "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 = "2017",

month = sep,

day = "15",

language = "English",

booktitle = "The International Conference on Field-Programmable Technology (FPT-2017)",

publisher = "IEEE",

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T1 - Homeostatic Fault Tolerance in Spiking Neural Networks utilizing Dynamic Partial Reconfiguration of FPGAs

AU - Johnson, Anju Pulikkakudi

AU - Liu, Junxiu

AU - Millard, Alan Gregory

AU - Karim, Shvan

AU - Tyrrell, Andrew Martin

AU - Harkin, Jim

AU - Timmis, Jonathan Ian

AU - McDaid, Liam

AU - Halliday, David Malcolm

N1 - 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 - 2017/9/15

Y1 - 2017/9/15

M3 - Conference contribution

BT - The International Conference on Field-Programmable Technology (FPT-2017)

PB - IEEE

ER -

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

Bibliographical note

Access to Document

Projects

Self-repairing hardware paradigms based on astrocyte-neuron models

Cite this