Spatio-temporal averaging for a class of hybrid systems and application to conductance-based neuron models
GENADOT, Alexandre
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
GENADOT, Alexandre
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
< Leer menos
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Idioma
en
Article de revue
Este ítem está publicado en
Nonlinear Analysis: Hybrid Systems. 2016-11-01, vol. 22, p. 176-190
Elsevier
Resumen en inglés
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 ...Leer más >
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.< Leer menos
Palabras clave en inglés
Stochastic averaging
Hybrid systems
Bio-physiological model
Orígen
Importado de HalCentros de investigación