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Article: Genetic algorithm supported by graphical processing unit improves the exploration of effective connectivity in functional brain imaging

TitleGenetic algorithm supported by graphical processing unit improves the exploration of effective connectivity in functional brain imaging
Authors
Issue Date2015
Citation
Frontiers in Computational Neuroscience, 2015, v. 9, article no. 50 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/219111

 

DC FieldValueLanguage
dc.contributor.authorChan, LWC-
dc.contributor.authorPang, B-
dc.contributor.authorShyu, CR-
dc.contributor.authorChan, T-
dc.contributor.authorKhong, PL-
dc.date.accessioned2015-09-18T07:13:21Z-
dc.date.available2015-09-18T07:13:21Z-
dc.date.issued2015-
dc.identifier.citationFrontiers in Computational Neuroscience, 2015, v. 9, article no. 50-
dc.identifier.urihttp://hdl.handle.net/10722/219111-
dc.languageeng-
dc.relation.ispartofFrontiers in Computational Neuroscience-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsThis Document is Protected by copyright and was first published by Frontiers. All rights reserved. It is reproduced with permission.-
dc.titleGenetic algorithm supported by graphical processing unit improves the exploration of effective connectivity in functional brain imaging-
dc.typeArticle-
dc.identifier.emailChan, T: taochan@hku.hk-
dc.identifier.emailKhong, PL: plkhong@hku.hk-
dc.identifier.authorityChan, T=rp00289-
dc.identifier.authorityKhong, PL=rp00467-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3389/fncom.2015.00050-
dc.identifier.hkuros254512-
dc.identifier.volume9-

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