A substrate-independent framework to characterize reservoir computers

Dale, Matthew, Miller, Julian F orcid.org/0000-0002-7692-9655, Stepney, Susan orcid.org/0000-0003-3146-5401 et al. (1 more author) (2019) A substrate-independent framework to characterize reservoir computers. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences. 20180723. ISSN 1364-5021



Copyright, Publisher and Additional Information: Funding Information: Data accessibility. The research material (source code and data) can be accessed at github.com/MaterialMan/ CHARC-Framework.git. Authors’ contributions. M.D. designed the framework and performed experimental work. All authors discussed the methods and results, contributed to the writing of the manuscript, and gave their final approval for publication. Competing interests. We declare we have no competing interests. Funding. This work was part-funded by a Defence Science and Technology Laboratory (DSTL) PhD studentship, and part-funded by the SpInsired project, EPSRC grant no. EP/R032823/1. Publisher Copyright: © 2019 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License
Keywords: Characterization, Physical computation, Reservoir computing
  • Accepted: 15 May 2019
  • Published: 19 June 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 05 Aug 2019 15:40
Last Modified: 04 Feb 2024 01:01
Status: Published
Refereed: Yes
Related URLs:


Filename: rspa.2018.0723.pdf

Description: rspa.2018.0723

Licence: CC-BY 2.5