Electroencephalogram Based Reaction Time Prediction With Differential Phase Synchrony Representations Using Co-Operative Multi-Task Deep Neural Networks

Reddy, TK; Arora, V; Kumar, S; Behera, L; Wang, Y-K; Lin, C-T

Electroencephalogram Based Reaction Time Prediction With Differential Phase Synchrony Representations Using Co-Operative Multi-Task Deep Neural Networks

Reddy, TK Arora, V Kumar, S Behera, L Wang, Y-K

Lin, C-T

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 3 (5), pp. 369 - 379
Issue Date:: 2019-10

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Field	Value	Language
dc.contributor.author	Reddy, TK	en_US
dc.contributor.author	Arora, V	en_US
dc.contributor.author	Kumar, S	en_US
dc.contributor.author	Behera, L	en_US
dc.contributor.author	Wang, Y-K https://orcid.org/0000-0001-8390-2664	en_US
dc.contributor.author	Lin, C-T https://orcid.org/0000-0001-8371-8197	en_US
dc.date.accessioned	2020-03-20T00:43:00Z
dc.date.available	2020-03-20T00:43:00Z
dc.date.issued	2019-10	en_US
dc.identifier.citation	IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 3 (5), pp. 369 - 379	en_US
dc.identifier.issn	2471-285X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139426
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)	en_US
dc.relation.ispartof	IEEE Transactions on Emerging Topics in Computational Intelligence	en_US
dc.relation.isbasedon	10.1109/tetci.2018.2881229	en_US
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Electroencephalogram Based Reaction Time Prediction With Differential Phase Synchrony Representations Using Co-Operative Multi-Task Deep Neural Networks	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	3	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
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/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access	*
pubs.consider-herdc	false	en_US
utslib.copyright.embargo	2021-10-01T00:00:00+1000
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	3	en_US

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http://hdl.handle.net/10453/139426