Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks

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/ISVLSI.2017.80

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks

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

Electronic Engineering

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

Original language	English
Title of host publication	IEEE Xplore
Subtitle of host publication	IS VLSI
Number of pages	6
ISBN (Electronic)	978-1-5090-6762-6
DOIs	https://doi.org/10.1109/ISVLSI.2017.80
Publication status	Published - 24 Jul 2017

Publication series

Name	VLSI (ISVLSI), IEEE Computer Society Annual Symposium on
ISSN (Electronic)	2159-3477

Access to Document

10.1109/ISVLSI.2017.80

Cite this

@inproceedings{0557c216b4c7441ca2fcd0325d2469d5,

title = "Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks",

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}",

year = "2017",

month = jul,

day = "24",

doi = "10.1109/ISVLSI.2017.80",

language = "English",

isbn = "978-1-5090-6763-3 ",

series = " VLSI (ISVLSI), IEEE Computer Society Annual Symposium on",

booktitle = "IEEE Xplore",

}

TY - GEN

T1 - Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks

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

PY - 2017/7/24

Y1 - 2017/7/24

UR - http://ieeexplore.ieee.org/abstract/document/7987556/

U2 - 10.1109/ISVLSI.2017.80

DO - 10.1109/ISVLSI.2017.80

M3 - Conference contribution

SN - 978-1-5090-6763-3

T3 - VLSI (ISVLSI), IEEE Computer Society Annual Symposium on

BT - IEEE Xplore

ER -

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks

Publication series

Access to Document

Other files and links

Self-repairing hardware paradigms based on astrocyte-neuron models

Cite this

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks

Publication series

Access to Document

Other files and links

Projects

Self-repairing hardware paradigms based on astrocyte-neuron models

Cite this