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dc.contributor.authorDeschle, Nicolas
dc.contributor.authorGossn, Juan Ignacio
dc.contributor.authorTewarie, Prejaas
dc.contributor.authorSchelter, Bjoern
dc.contributor.authorDaffertshofer, Andreas
dc.date.accessioned2021-03-15T16:37:01Z
dc.date.available2021-03-15T16:37:01Z
dc.date.issued2021-01-05
dc.identifier.citationDeschle , N , Gossn , J I , Tewarie , P , Schelter , B & Daffertshofer , A 2021 , ' On the validity of neural mass models ' , Frontiers in Computational Neuroscience , vol. 14 , 581040 . https://doi.org/10.3389/fncom.2020.581040en
dc.identifier.issn1662-5188
dc.identifier.otherPURE: 183179721
dc.identifier.otherPURE UUID: 86ca0405-36f1-4320-9125-e43b9decdbf5
dc.identifier.otherScopus: 85099643180
dc.identifier.urihttps://hdl.handle.net/2164/16039
dc.descriptionFUNDING This study received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement #642563 (COSMOS). ACKNOWLEDGMENTS ND and AD want to thank Rok Cestnik and Bastian Pietras for fruitful discussionsen
dc.format.extent12
dc.language.isoeng
dc.relation.ispartofFrontiers in Computational Neuroscienceen
dc.rightsCopyright © 2021 Deschle, Ignacio Gossn, Tewarie, Schelter and Daffertshofer. 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.subjectneural mass modelen
dc.subjectleakly integrate and fireen
dc.subjectrandom graphen
dc.subjectmean field approximationen
dc.subjectFreeman modelen
dc.subjectQC Physicsen
dc.subjectOtheren
dc.subject#642563en
dc.subjectSupplementary Dataen
dc.subject.lccQCen
dc.titleOn the validity of neural mass modelsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Mathematical Sciences (Research Theme)en
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.3389/fncom.2020.581040
dc.identifier.urlhttps://www.frontiersin.org/articles/10.3389/fncom.2020.581040/full#supplementary-materialen


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