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Identifying Chaotic FitzHugh–Nagumo Neurons Using Compressive Sensing

dc.contributor.authorSu, Ri-Qi
dc.contributor.authorLai, Ying-Cheng
dc.contributor.authorWang, Xiao
dc.date.accessioned2015-11-18T14:32:01Z
dc.date.available2015-11-18T14:32:01Z
dc.date.issued2014-07-15
dc.identifier.citationSu , R-Q , Lai , Y-C & Wang , X 2014 , ' Identifying Chaotic FitzHugh–Nagumo Neurons Using Compressive Sensing ' , Entropy , vol. 16 , no. 7 , pp. 3889-3902 . https://doi.org/10.3390/e16073889en
dc.identifier.issn1099-4300
dc.identifier.otherPURE: 59032072
dc.identifier.otherPURE UUID: 6a4dd6ed-ebdd-49e5-9d8c-86ca1117275d
dc.identifier.otherScopus: 84907233987
dc.identifier.urihttp://hdl.handle.net/2164/5215
dc.descriptionDate of Acceptance: 07/07/2014en
dc.format.extent14
dc.language.isoeng
dc.relation.ispartofEntropyen
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/en
dc.subjectcompressive sensingen
dc.subjectnonlinear system identificationen
dc.subjectneuronal networksen
dc.subjectchaosen
dc.subjectrandom networksen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleIdentifying Chaotic FitzHugh–Nagumo Neurons Using Compressive Sensingen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.3390/e16073889
dc.identifier.vol16en
dc.identifier.iss7en


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