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Supra-threshold stochastic resonance in a population of stochastic Hogkin-Huxley neuron models with random ion channel gating

Detalles Bibliográficos
Autor principal: Mino, Hiroyuki
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3090884/
http://dx.doi.org/10.1186/1471-2202-11-S1-P177
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author Mino, Hiroyuki
author_facet Mino, Hiroyuki
author_sort Mino, Hiroyuki
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spelling pubmed-30908842011-05-11 Supra-threshold stochastic resonance in a population of stochastic Hogkin-Huxley neuron models with random ion channel gating Mino, Hiroyuki BMC Neurosci Poster Presentation BioMed Central 2010-07-20 /pmc/articles/PMC3090884/ http://dx.doi.org/10.1186/1471-2202-11-S1-P177 Text en Copyright ©2010 Mino; licensee BioMed Central Ltd.
spellingShingle Poster Presentation
Mino, Hiroyuki
Supra-threshold stochastic resonance in a population of stochastic Hogkin-Huxley neuron models with random ion channel gating
title Supra-threshold stochastic resonance in a population of stochastic Hogkin-Huxley neuron models with random ion channel gating
title_full Supra-threshold stochastic resonance in a population of stochastic Hogkin-Huxley neuron models with random ion channel gating
title_fullStr Supra-threshold stochastic resonance in a population of stochastic Hogkin-Huxley neuron models with random ion channel gating
title_full_unstemmed Supra-threshold stochastic resonance in a population of stochastic Hogkin-Huxley neuron models with random ion channel gating
title_short Supra-threshold stochastic resonance in a population of stochastic Hogkin-Huxley neuron models with random ion channel gating
title_sort supra-threshold stochastic resonance in a population of stochastic hogkin-huxley neuron models with random ion channel gating
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3090884/
http://dx.doi.org/10.1186/1471-2202-11-S1-P177
work_keys_str_mv AT minohiroyuki suprathresholdstochasticresonanceinapopulationofstochastichogkinhuxleyneuronmodelswithrandomionchannelgating