Computational models and motor learning paradigms: Could they provide insights for neuroplasticity after stroke? An overview

Kiper, P., Szczudlik, A., Venneri, A. et al. (6 more authors) (2016) Computational models and motor learning paradigms: Could they provide insights for neuroplasticity after stroke? An overview. Journal of the Neurological Sciences, 369. C. pp. 141-148. ISSN 0022-510X

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 Elsevier. This is an author produced version of a paper subsequently published in Journal of the Neurological Sciences. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: motor learning; computational models; stroke; neuroplasticity; neurorehabilitation
Dates:
  • Published: 11 August 2016
  • Accepted: 9 August 2016
  • Published (online): 11 August 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield)
The University of Sheffield > Sheffield Teaching Hospitals
Depositing User: Symplectic Sheffield
Date Deposited: 17 Oct 2016 15:52
Last Modified: 10 Aug 2017 16:18
Published Version: http://dx.doi.org/10.1016/j.jns.2016.08.019
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.jns.2016.08.019

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