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Article: Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces

TitleGolden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces
Authors
Sun, BWu, ZHu, YLi, T
Issue Date2022
Citation
Neural Networks, 2022, v. 151, p. 111-120 How to Cite?
DOI: http://dx.doi.org/10.1016/j.neunet.2022.03.025
Persistent Identifierhttp://hdl.handle.net/10722/319687
ISI Accession Number ID
WOS:000792692200007

 

DC FieldValueLanguage
dc.contributor.authorSun, B-
dc.contributor.authorWu, Z-
dc.contributor.authorHu, Y-
dc.contributor.authorLi, T-
dc.date.accessioned2022-10-14T05:17:54Z-
dc.date.available2022-10-14T05:17:54Z-
dc.date.issued2022-
dc.identifier.citationNeural Networks, 2022, v. 151, p. 111-120-
dc.identifier.urihttp://hdl.handle.net/10722/319687-
dc.languageeng-
dc.relation.ispartofNeural Networks-
dc.titleGolden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces-
dc.typeArticle-
dc.identifier.emailHu, Y: yhud@hku.hk-
dc.identifier.authorityHu, Y=rp00432-
dc.identifier.doi10.1016/j.neunet.2022.03.025-
dc.identifier.hkuros338719-
dc.identifier.volume151-
dc.identifier.spage111-
dc.identifier.epage120-
dc.identifier.isiWOS:000792692200007-

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