Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks

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

doi:10.1007/978-3-319-70136-3_41

Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks

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

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

Original language	English
Title of host publication	Neural Information Processing
Subtitle of host publication	24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceeding, Part II
Editors	D. Liu, S. Xie, Y. Li, D. Zhao, E.-S.M. El-Alfy
Publisher	Springer
ISBN (Electronic)	978-3-319-70096-0
ISBN (Print)	978-3-319-70095-3
DOIs	https://doi.org/10.1007/978-3-319-70136-3_41
Publication status	E-pub ahead of print - 27 Oct 2017

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	10634, 10635 10636, 10637, 10638, 10639
ISSN (Print)	0302-9743

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

Access to Document

10.1007/978-3-319-70136-3_41

Liu_ICONIP
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, 251 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

Liu, J., McDaid, L., Harkin, J., Wade, J., Karim, S., Johnson, A. P., Millard, A. G., Halliday, D. M., Tyrrell, A. M., & Timmis, J. I. (2017). Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks. In D. Liu, S. Xie, Y. Li, D. Zhao, & E.-SM. El-Alfy (Eds.), Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceeding, Part II (Lecture Notes in Computer Science; Vol. 10634, 10635 10636, 10637, 10638, 10639). Springer. Advance online publication. https://doi.org/10.1007/978-3-319-70136-3_41

@inproceedings{dbec8db93edb4e40a810728bd543c6d6,

title = "Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks",

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

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 = oct,

day = "27",

doi = "10.1007/978-3-319-70136-3_41",

language = "English",

isbn = "978-3-319-70095-3",

series = "Lecture Notes in Computer Science",

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editor = "D. Liu and S. Xie and Y. Li and D. Zhao and E.-S.M. El-Alfy",

booktitle = "Neural Information Processing",

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}

Liu, J, McDaid, L, Harkin, J, Wade, J, Karim, S, Johnson, AP , Millard, AG , Halliday, DM , Tyrrell, AM & Timmis, JI 2017, Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks. in D Liu, S Xie, Y Li, D Zhao & E-SM El-Alfy (eds), Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceeding, Part II. Lecture Notes in Computer Science, vol. 10634, 10635 10636, 10637, 10638, 10639, Springer. https://doi.org/10.1007/978-3-319-70136-3_41

Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks. / Liu, Junxiu; McDaid, Liam; Harkin, Jim et al.
Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceeding, Part II. ed. / D. Liu; S. Xie; Y. Li; D. Zhao; E.-S.M. El-Alfy. Springer, 2017. (Lecture Notes in Computer Science; Vol. 10634, 10635 10636, 10637, 10638, 10639).

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

TY - GEN

T1 - Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks

AU - Liu, Junxiu

AU - McDaid, Liam

AU - Harkin, Jim

AU - Wade, John

AU - Karim, Shvan

AU - Johnson, Anju Pulikkakudi

AU - Millard, Alan Gregory

AU - Halliday, David Malcolm

AU - Tyrrell, Andrew Martin

AU - Timmis, Jonathan Ian

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 - 2017/10/27

Y1 - 2017/10/27

U2 - 10.1007/978-3-319-70136-3_41

DO - 10.1007/978-3-319-70136-3_41

M3 - Conference contribution

SN - 978-3-319-70095-3

T3 - Lecture Notes in Computer Science

BT - Neural Information Processing

A2 - Liu, D.

A2 - Xie, S.

A2 - Li, Y.

A2 - Zhao, D.

A2 - El-Alfy, E.-S.M.

PB - Springer

ER -

Liu J, McDaid L, Harkin J, Wade J, Karim S, Johnson AP et al. Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks. In Liu D, Xie S, Li Y, Zhao D, El-Alfy ESM, editors, Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceeding, Part II. Springer. 2017. (Lecture Notes in Computer Science). Epub 2017 Oct 27. doi: 10.1007/978-3-319-70136-3_41

Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks

Publication series

Bibliographical note

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Self-repairing hardware paradigms based on astrocyte-neuron models

Cite this