Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22325
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dc.contributor.authorMichel, Christopheen_UK
dc.contributor.authorAzevedo Coste, Christineen_UK
dc.contributor.authorDesmadryl, Gillesen_UK
dc.contributor.authorPuel, Jean-Lucen_UK
dc.contributor.authorBourien, Jeromeen_UK
dc.contributor.authorGraham, Bruceen_UK
dc.date.accessioned2016-02-06T01:22:07Z-
dc.date.available2016-02-06T01:22:07Z-
dc.date.issued2015-11en_UK
dc.identifier.urihttp://hdl.handle.net/1893/22325-
dc.description.abstractPrevious experimental data indicates the hyperpolarization-activated cation (Ih) current, in the inner ear, consists of two components [different hyperpolarization-activated cyclic nucleotide-gated (HCN) subunits] which are impossible to pharmacologically isolate. To confirm the presence of these two components in vestibular ganglion neurons we have applied a parameter identification algorithm which is able to discriminate the parameters of the two components from experimental data. Using simulated data we have shown that this algorithm is able to identify the parameters of two populations of non-inactivated ionic channels more accurately than a classical method. Moreover, the algorithm was demonstrated to be insensitive to the key parameter variations. We then applied this algorithm to Ih current recordings from mouse vestibular ganglion neurons. The algorithm revealed the presence of a high-voltage-activated slow component and a low-voltage-activated fast component. Finally, the electrophysiological significance of these two Ih components was tested individually in computational vestibular ganglion neuron models (sustained and transient), in the control case and in the presence of cAMP, an intracellular cyclic nucleotide that modulates HCN channel activity. The results suggest that, first, the fast and slow components modulate differently the action potential excitability and the excitatory postsynaptic potentials in both sustained and transient vestibular neurons and, second, the fast and slow components, in the control case, provide different information about characteristics of the stimulation and this information is significantly modified after modulation by cAMP.en_UK
dc.language.isoenen_UK
dc.publisherWiley-Blackwellen_UK
dc.relationMichel C, Azevedo Coste C, Desmadryl G, Puel J, Bourien J & Graham B (2015) Identification and modelling of fast and slow Ih current components in vestibular ganglion neurons. European Journal of Neuroscience, 42 (10), pp. 2867-2877. https://doi.org/10.1111/ejn.13021en_UK
dc.rights© 2015 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd. This 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.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectcomputational modellingen_UK
dc.subjecthyperpolarization-activated cation currenten_UK
dc.subjectvestibularen_UK
dc.subjectvoltage clampen_UK
dc.titleIdentification and modelling of fast and slow Ih current components in vestibular ganglion neuronsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1111/ejn.13021en_UK
dc.identifier.pmid26174408en_UK
dc.citation.jtitleEuropean Journal of Neuroscienceen_UK
dc.citation.issn1460-9568en_UK
dc.citation.issn0953-816Xen_UK
dc.citation.volume42en_UK
dc.citation.issue10en_UK
dc.citation.spage2867en_UK
dc.citation.epage2877en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderBiotechnology and Biological Sciences Research Councilen_UK
dc.author.emailb.graham@cs.stir.ac.uken_UK
dc.citation.date06/08/2015en_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Montpellieren_UK
dc.contributor.affiliationUniversity of Montpellieren_UK
dc.contributor.affiliationUniversity of Montpellieren_UK
dc.contributor.affiliationUniversity of Montpellieren_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000368242200012en_UK
dc.identifier.scopusid2-s2.0-84938630629en_UK
dc.identifier.wtid587052en_UK
dc.contributor.orcid0000-0002-3243-2532en_UK
dc.date.accepted2015-07-09en_UK
dcterms.dateAccepted2015-07-09en_UK
dc.date.filedepositdate2015-10-19en_UK
dc.relation.funderprojectBalancing resource and energy usage for optimal performance in neural systemen_UK
dc.relation.funderrefBB/K01854X/1en_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMichel, Christophe|en_UK
local.rioxx.authorAzevedo Coste, Christine|en_UK
local.rioxx.authorDesmadryl, Gilles|en_UK
local.rioxx.authorPuel, Jean-Luc|en_UK
local.rioxx.authorBourien, Jerome|en_UK
local.rioxx.authorGraham, Bruce|0000-0002-3243-2532en_UK
local.rioxx.projectBB/K01854X/1|Biotechnology and Biological Sciences Research Council|http://dx.doi.org/10.13039/501100000268en_UK
local.rioxx.freetoreaddate2015-10-19en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2015-10-19|en_UK
local.rioxx.filenameMichel_et_al-2015-European_Journal_of_Neuroscience (1).pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0953-816Xen_UK
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