Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity.

Esposito, U., Giugliano, M. and Vasilaki, E. orcid.org/0000-0003-3705-7070 (2015) Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity. Frontiers in Computational Neurscience, 8. 175. ISSN 1662-5188

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2015 Esposito, Giugliano and Vasilaki. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. http://creativecommons.org/licenses/by/4.0/
Keywords: short-term plasticity; long-term plasticity; learning; rate code; motifs; target-specificity
Dates:
  • Published: 29 January 2015
  • Accepted: 31 December 2014
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Science (Sheffield) > School of Biological Sciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 10 May 2016 09:18
Last Modified: 12 Jun 2018 09:51
Published Version: http://dx.doi.org/10.3389/fncom.2014.00175
Status: Published
Publisher: Frontiers Media
Refereed: Yes
Identification Number: https://doi.org/10.3389/fncom.2014.00175

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