Spatio-temporal averaging for a class of hybrid systems and application to conductance-based neuron models - Archive ouverte HAL
Article Dans Une Revue Nonlinear Analysis: Hybrid Systems Année : 2016

Spatio-temporal averaging for a class of hybrid systems and application to conductance-based neuron models

Résumé

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.
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Dates et versions

hal-01414107 , version 1 (12-12-2016)

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Citer

Alexandre Genadot. Spatio-temporal averaging for a class of hybrid systems and application to conductance-based neuron models. Nonlinear Analysis: Hybrid Systems, 2016, 22, pp.176-190. ⟨10.1016/j.nahs.2016.03.003⟩. ⟨hal-01414107⟩
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