Triphasic Spike-Timing-Dependent Plasticity Organizes Networks to Produce Robust Sequences of Neural Activity

Waddington, A, Appleby, PA, de Kamps, M et al. (1 more author) (2012) Triphasic Spike-Timing-Dependent Plasticity Organizes Networks to Produce Robust Sequences of Neural Activity. Frontiers in Computational Neuroscience, 6. ISSN 1662-5188

Abstract

Metadata

Authors/Creators:
  • Waddington, A
  • Appleby, PA
  • de Kamps, M
  • Cohen, N
Copyright, Publisher and Additional Information: (c) 2012, Frontiers. Reproduced in accordance with the publisher's self-archiving policy. This Document is Protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission.
Keywords: activity dependentplasticity; computational model; microcircuits; networkdevelopment; random walk; songbird; synfire chains; zebra finch
Dates:
  • Published: 12 November 2012
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 27 Jan 2014 12:23
Last Modified: 15 Sep 2014 02:26
Published Version: http://dx.doi.org/10.3389/fncom.2012.00088
Status: Published
Publisher: Frontiers
Identification Number: https://doi.org/10.3389/fncom.2012.00088

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