A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers

Zhang, X; Yao, L; Wang, X; Monaghan, JJM; Mcalpine, D; Zhang, Y

A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers

Zhang, X Yao, L Wang, X

Monaghan, JJM Mcalpine, D Zhang, Y

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Publisher:: IOP Publishing
Publication Type:: Journal Article
Citation:: Journal of Neural Engineering

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Field	Value	Language
dc.contributor.author	Zhang, X
dc.contributor.author	Yao, L
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Monaghan, JJM
dc.contributor.author	Mcalpine, D
dc.contributor.author	Zhang, Y
dc.date.accessioned	2020-11-12T04:52:57Z
dc.date.available	2020-11-12T04:52:57Z
dc.identifier.citation	Journal of Neural Engineering
dc.identifier.issn	1741-2560
dc.identifier.issn	1741-2552
dc.identifier.uri	http://hdl.handle.net/10453/143955
dc.language	en
dc.publisher	IOP Publishing
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	Journal of Neural Engineering
dc.relation.isbasedon	http://dx.doi.org/10.1088/1741-2552/abc902
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.rights	This is an author-created, un-copyedited version of an article accepted for publication in Journal of Neural Engineering. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher-authenticated version is available online at http://dx.doi.org/10.1088/1741-2552/abc902.	en_US
dc.subject	0903 Biomedical Engineering, 1103 Clinical Sciences, 1109 Neurosciences
dc.subject.classification	Biomedical Engineering
dc.title	A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
dc.type	Journal Article
utslib.for	0903 Biomedical Engineering
utslib.for	1103 Clinical Sciences
utslib.for	1109 Neurosciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-11-10T00:00:00+1000Z
dc.date.updated	2020-11-12T04:52:54Z
pubs.publication-status	Published online

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http://hdl.handle.net/10453/143955