Exploiting multiple timescales in hierarchical echo state networks

Manneschi, L., Ellis, M.O.A., Gigante, G. et al. (3 more authors) (2021) Exploiting multiple timescales in hierarchical echo state networks. Frontiers in Applied Mathematics and Statistics, 6. 616658. ISSN 2297-4687

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Copyright, Publisher and Additional Information: © 2021 Manneschi, Ellis, Gigante, Lin, Del Giudice and Vasilaki. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 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.
Keywords: reservoir computing (RC); echo state network (ESN); timescales; hyperparameter adaptation; backpropagation through time
Dates:
  • Accepted: 29 December 2020
  • Published (online): 17 February 2021
  • Published: 17 February 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 01 Feb 2021 10:41
Last Modified: 04 Mar 2021 15:36
Status: Published
Publisher: Frontiers Media
Refereed: Yes
Identification Number: https://doi.org/10.3389/fams.2020.616658
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