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dc.contributor.authorAl-Darabsah, Isam
dc.contributor.authorCampbell, Sue Ann
dc.date.accessioned2022-04-14 18:00:05 (GMT)
dc.date.available2022-04-14 18:00:05 (GMT)
dc.date.issued2021-02-15
dc.identifier.urihttps://doi.org/10.1186/s13408-021-00103-5
dc.identifier.urihttp://hdl.handle.net/10012/18146
dc.description.abstractIn this work, we consider a general conductance-based neuron model with the inclusion of the acetycholine sensitive, M-current. We study bifurcations in the parameter space consisting of the applied current Iapp, the maximal conductance of the M-current gM and the conductance of the leak current gL. We give precise conditions for the model that ensure the existence of a Bogdanov–Takens (BT) point and show that such a point can occur by varying Iapp and gM. We discuss the case when the BT point becomes a Bogdanov–Takens–cusp (BTC) point and show that such a point can occur in the three-dimensional parameter space. The results of the bifurcation analysis are applied to different neuronal models and are verified and supplemented by numerical bifurcation diagrams generated using the package MATCONT. We conclude that there is a transition in the neuronal excitability type organised by the BT point and the neuron switches from Class-I to Class-II as conductance of the M-current increases.en
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canadaen
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesJournal of mathematical neuroscience;
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectconductance-based modelsen
dc.subjectbogdanov–takens bifurcationen
dc.subjectneuronal excitabilityen
dc.subjectm-currenten
dc.titleM-current induced Bogdanov–Takens bifurcation and switching of neuron excitability classen
dc.typeArticleen
dcterms.bibliographicCitationAl-Darabsah, I., & Campbell, S. A. (2021). M-current induced Bogdanov–Takens bifurcation and switching of neuron excitability class. The Journal of Mathematical Neuroscience, 11(1), 5. https://doi.org/10.1186/s13408-021-00103-5en
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Applied Mathematicsen
uws.contributor.affiliation2Centre for Theoretical Neuroscience (CTN)en
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.scholarLevelPost-Doctorateen


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