Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks

Liu, Junxiu, McDaid, Liam, Harkin, Jim et al. (7 more authors) (2017) Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks. In: Liu, D., Xie, S., Li, Y., Zhao, D. and El-Alfy, E.-S.M., (eds.) Neural Information Processing:24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceeding, Part II. Lecture Notes in Computer Science . Springer

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Liu, D.
  • Xie, S.
  • Li, Y.
  • Zhao, D.
  • El-Alfy, E.-S.M.
Copyright, Publisher and Additional Information:

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
Dates:
  • Accepted: 31 July 2017
  • Published (online): 27 October 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Funding Information:
Funder
Grant number
EPSRC
EP/N007050/1
Depositing User: Pure (York)
Date Deposited: 02 Oct 2017 13:45
Last Modified: 15 Apr 2025 23:18
Published Version: https://doi.org/10.1007/978-3-319-70136-3_41
Status: Published online
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Identification Number: 10.1007/978-3-319-70136-3_41
Open Archives Initiative ID (OAI ID):

Download

Accepted Version

Filename: Liu_ICONIP.pdf

Description: Liu_ICONIP

CLICK TO DOWNLOAD [thumbnail of Liu_ICONIP]

Export

Statistics


CORE (COnnecting REpositories)