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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/84161
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dc.contributor.authorDarvishi, S.-
dc.contributor.authorRidding, M.-
dc.contributor.authorAbbott, D.-
dc.contributor.authorBaumert, M.-
dc.date.issued2013-
dc.identifier.citationProceedings of the Fifth International Brain-Computer Interface Meeting 2013: Article ID 074-
dc.identifier.urihttp://hdl.handle.net/2440/84161-
dc.description.abstractRestorative brain-computer interafces (BCIs) have been exploited by a number of BCI labs for the purpose of stroke rehabilitation. The results that are achieved with commonly used technology are rather promising, but inconsistent. In this abstract we propose a novel paradigm for restorative BCI designs, which is based on motor learning theory and the Hebbian learning rule. It is expected to enhance the degree of neuroplasticity in stroke patients.-
dc.description.statementofresponsibilityS. Darvishi, M. C. Ridding, D. Abbott, M. Baumert-
dc.description.urihttp://bcimeeting.org/2013/-
dc.language.isoen-
dc.publisherGraz University of Technology Publishing House-
dc.rightsCopyright status unknown-
dc.subjectRestorative BCI-
dc.subjectFeedback-
dc.subjectHebbian learning rule-
dc.titleProposing a novel feedback provision paradigm for restorative brain-computer interfaces-
dc.typeConference paper-
dc.contributor.conferenceInternational Brain-Computer Interface Meeting (5th : 2013 : Pacific Grove, California)-
dc.identifier.doi10.3217/978-3-85125-260-6-74-
dc.publisher.placeonline-
pubs.publication-statusPublished-
dc.identifier.orcidRidding, M. [0000-0001-5657-9136]-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
dc.identifier.orcidBaumert, M. [0000-0003-2984-2167]-
Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

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