Stochastic Hodgkin-Huxley equations with colored noise terms in the conductances.

dc.contributor.authorGüler, Marifi
dc.date.accessioned2026-02-06T17:58:41Z
dc.date.issued2013
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractThe excitability of cells is facilitated by voltage-gated ion channels. These channels accommodate a multiple number of gates individually. The possible impact of that gate multiplicity on the cell's function, specifically when the membrane area is of limited size, was investigated in the author's prior work (Güler, 2011 ). There, it was found that a nontrivially persistent correlation takes place between the transmembrane voltage fluctuations (also between the fluctuations in the gating variables) and the component of open channel fluctuations attributed to the gate multiplicity. This nontrivial phenomenon was found to be playing a major augmentative role for the elevation of excitability and spontaneous firing in small cells. In addition, the same phenomenon was found to be enhancing spike coherence significantly. Here we extend Fox and Lu's ( 1994 ) stochastic Hodgkin-Huxley equations by incorporating colored noise terms into the conductances there to obtain a formalism capable of capturing the addressed cross-correlations. Statistics of spike generation, spike coherence, firing efficiency, latency, and jitter from the articulated set of equations are found to be highly accurate in comparison with the corresponding statistics from the exact microscopic Markov simulations. This way, it is demonstrated vividly that our formulation overcomes the inherent inadequacy of the Fox and Lu equations. Finally, a recently proposed diffusion approximation method (Linaro, Storace, & Giugliano, 2011 ) is taken into consideration, and a discussion on its character is pursued.
dc.identifier.doi10.1162/NECO_a_00384
dc.identifier.endpage74
dc.identifier.issn0899-7667
dc.identifier.issue1
dc.identifier.pmid23020107
dc.identifier.scopus2-s2.0-84878208595
dc.identifier.scopusqualityQ1
dc.identifier.startpage46
dc.identifier.urihttps://doi.org/10.1162/NECO_a_00384
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/
dc.identifier.urihttps://hdl.handle.net/11129/7697
dc.identifier.volume25
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.relation.ispartofNeural Computation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subjection channel
dc.subjectaction potential
dc.subjectanimal
dc.subjectarticle
dc.subjectartifact
dc.subjectbiological model
dc.subjectcell membrane
dc.subjectchannel gating
dc.subjectelectric conductivity
dc.subjectelectrostimulation
dc.subjecthuman
dc.subjectnerve cell
dc.subjectphysiology
dc.subjectprobability
dc.subjectreaction time
dc.subjectstatistics
dc.subjectAction Potentials
dc.subjectAnimals
dc.subjectArtifacts
dc.subjectCell Membrane
dc.subjectElectric Conductivity
dc.subjectElectric Stimulation
dc.subjectHumans
dc.subjectIon Channel Gating
dc.subjectIon Channels
dc.subjectMarkov Chains
dc.subjectModels, Neurological
dc.subjectNeurons
dc.subjectReaction Time
dc.subjectStochastic Processes
dc.titleStochastic Hodgkin-Huxley equations with colored noise terms in the conductances.
dc.typeArticle

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