Autonomous Learning Paradigm for Spiking Neural Networks

Junxiu Liu; Liam J. McDaid; Jim Harkin; Shvan Karim; Anju P. Johnson; David M. Halliday; Andy M. Tyrrell; Jon Timmis; Alan G. Millard; James Hilder

doi:10.1007/978-3-030-30487-4_57

Autonomous Learning Paradigm for Spiking Neural Networks

Junxiu Liu, Liam J. McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, James Hilder

Research output: Contribution to conference › Paper › peer-review

Original language	English
Pages	737-744
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-030-30487-4_57
Publication status	Published - 17 Sept 2019
Event	Artificial Neural Networks and Machine Learning – ICANN 2019 - Munich Duration: 17 Sept 2019 → 19 Sept 2019

Conference

Conference	Artificial Neural Networks and Machine Learning – ICANN 2019
City	Munich
Period	17/09/19 → 19/09/19

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

10.1007/978-3-030-30487-4_57Licence: Other

Accepted version
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, 227 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

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title = "Autonomous Learning Paradigm for Spiking Neural Networks",

author = "Junxiu Liu and McDaid, {Liam J.} and Jim Harkin and Shvan Karim and Johnson, {Anju P.} and Halliday, {David M.} and Tyrrell, {Andy M.} and Jon Timmis and Millard, {Alan G.} and James Hilder",

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. ; Artificial Neural Networks and Machine Learning – ICANN 2019 ; Conference date: 17-09-2019 Through 19-09-2019",

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AU - McDaid, Liam J.

AU - Harkin, Jim

AU - Karim, Shvan

AU - Johnson, Anju P.

AU - Halliday, David M.

AU - Tyrrell, Andy M.

AU - Timmis, Jon

AU - Millard, Alan G.

AU - Hilder, James

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 - 2019/9/17

Y1 - 2019/9/17

U2 - 10.1007/978-3-030-30487-4_57

DO - 10.1007/978-3-030-30487-4_57

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EP - 744

T2 - Artificial Neural Networks and Machine Learning – ICANN 2019

Y2 - 17 September 2019 through 19 September 2019

ER -

Autonomous Learning Paradigm for Spiking Neural Networks

Conference

Bibliographical note

Access to Document

Projects

Self-repairing hardware paradigms based on astrocyte-neuron models

Cite this