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Bistable firing pattern in a neural network model

dc.contributor.authorProtachevicz, Paulo R.
dc.contributor.authorBorges, Fernando S.
dc.contributor.authorLameu, Ewandson L.
dc.contributor.authorJi, Peng
dc.contributor.authorIarosz, Kelly C.
dc.contributor.authorKihara, Alexandre H.
dc.contributor.authorCaldas, Ibere L.
dc.contributor.authorSzezech, Jose D.
dc.contributor.authorBaptista, Murilo S.
dc.contributor.authorMacau, Elbert E.N.
dc.contributor.authorAntonopoulos, Chris G.
dc.contributor.authorBatista, Antonio M.
dc.contributor.authorKurths, Jürgen
dc.date.accessioned2019-05-30T15:20:08Z
dc.date.available2019-05-30T15:20:08Z
dc.date.issued2019-04-05
dc.identifier.citationProtachevicz , P R , Borges , F S , Lameu , E L , Ji , P , Iarosz , K C , Kihara , A H , Caldas , I L , Szezech , J D , Baptista , M S , Macau , E E N , Antonopoulos , C G , Batista , A M & Kurths , J 2019 , ' Bistable firing pattern in a neural network model ' , Frontiers in Computational Neuroscience , vol. 13 , 19 . https://doi.org/10.3389/fncom.2019.00019en
dc.identifier.issn1662-5188
dc.identifier.otherPURE: 144452355
dc.identifier.otherPURE UUID: e3530729-12be-4c4b-b1e7-4a2f9aec71fe
dc.identifier.otherScopus: 85064220263
dc.identifier.otherMendeley: bdb281fc-2f07-3f2b-ab8a-4289a9dbd446
dc.identifier.urihttp://hdl.handle.net/2164/12337
dc.descriptionFUNDING This study was possible by partial financial support from the following Brazilian government agencies: Fundação Araucária, CNPq (433782/2016-1, 310124/2017-4, and 428388/2018-3), CAPES, and FAPESP (2015/50122-0, 2015/07311-7, 2016/16148-5, 2016/23398-8, 2017/13502-5, 2017/18977-1, 2018/03211-6). ACKNOWLEDGMENTS We also wish to thank the Newton Fund, COFAP, and International Visiting Fellowships Scheme of the University of Essex. We also thank IRTG 1740 for support.en
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofFrontiers in Computational Neuroscienceen
dc.rightsCopyright © 2019 Protachevicz, Borges, Lameu, Ji, Iarosz, Kihara, Caldas, Szezech, Baptista, Macau, Antonopoulos, Batista and Kurths. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. https://creativecommons.org/licenses/by/4.0/en
dc.subjectAdaptive exponential integrate-and-fire neural modelen
dc.subjectBistable regimeen
dc.subjectEpilepsyen
dc.subjectNetworken
dc.subjectNeural dynamicsen
dc.subjectSynchronizationen
dc.subjectR Medicineen
dc.subjectNeuroscience (miscellaneous)en
dc.subjectCellular and Molecular Neuroscienceen
dc.subject.lccRen
dc.titleBistable firing pattern in a neural network modelen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.3389/fncom.2019.00019
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85064220263&partnerID=8YFLogxKen
dc.identifier.urlhttps://www.frontiersin.org/article/10.3389/fncom.2019.00019/fullen
dc.identifier.urlhttp://www.mendeley.com/research/bistable-firing-pattern-neural-network-modelen
dc.identifier.vol13en


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