Spatio-temporal averaging for a class of hybrid systems and application to conductance-based neuron models
hal.structure.identifier | Quality control and dynamic reliability [CQFD] | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | GENADOT, Alexandre | |
dc.date.accessioned | 2024-04-04T03:12:18Z | |
dc.date.available | 2024-04-04T03:12:18Z | |
dc.date.issued | 2016-11-01 | |
dc.identifier.issn | 1751-570X | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/193856 | |
dc.description.abstractEn | We obtain a limit theorem endowed with quantitative estimates for a general class of infinite dimensional hybrid processes with intrinsically two different time scales and including a population. As an application, we consider a large class of conductance-based neuron models describing the nerve impulse propagation along a neural cell at the scales of ion channels. | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.subject.en | Stochastic averaging | |
dc.subject.en | Hybrid systems | |
dc.subject.en | Bio-physiological model | |
dc.title.en | Spatio-temporal averaging for a class of hybrid systems and application to conductance-based neuron models | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1016/j.nahs.2016.03.003 | |
dc.subject.hal | Mathématiques [math]/Probabilités [math.PR] | |
bordeaux.journal | Nonlinear Analysis: Hybrid Systems | |
bordeaux.page | 176-190 | |
bordeaux.volume | 22 | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01414107 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01414107v1 | |
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