A leaky integrate-and-fire model with adaptation for the generation of a spike train

A model is proposed to describe the spike-frequency adaptation observed in many neuronal systems. We assume that adaptation is mainly due to a calcium-activated potassium current, and we consider two coupled stochastic differential equations for which an analytical approach combined with simulation...

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Main Authors: Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Maria Francesca Carfora
Format: Article
Language:English
Published: AIMS Press 2015-12-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2016002
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author Aniello Buonocore
Luigia Caputo
Enrica Pirozzi
Maria Francesca Carfora
author_facet Aniello Buonocore
Luigia Caputo
Enrica Pirozzi
Maria Francesca Carfora
author_sort Aniello Buonocore
collection DOAJ
description A model is proposed to describe the spike-frequency adaptation observed in many neuronal systems. We assume that adaptation is mainly due to a calcium-activated potassium current, and we consider two coupled stochastic differential equations for which an analytical approach combined with simulation techniques and numerical methods allow to obtain both qualitative and quantitative results about asymptotic mean firing rate, mean calcium concentration and the firing probability density. A related algorithm, based on the Hazard Rate Method, is also devised and described.
format Article
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institution Kabale University
issn 1551-0018
language English
publishDate 2015-12-01
publisher AIMS Press
record_format Article
series Mathematical Biosciences and Engineering
spelling doaj-art-6ecc941298904e79b656a358e348eef42025-01-24T02:35:23ZengAIMS PressMathematical Biosciences and Engineering1551-00182015-12-0113348349310.3934/mbe.2016002A leaky integrate-and-fire model with adaptation for the generation of a spike trainAniello Buonocore0Luigia Caputo1Enrica Pirozzi2Maria Francesca Carfora3Dipartimento di Matematica e Applicazioni “R. Caccioppoli”, Università di Napoli Federico II, Via Cintia, 80126 NapoliDipartimento di Matematica e Applicazioni, Università di Napoli Federico II, Via Cintia, NapoliDipartimento di Matematica e Applicazioni, Università di Napoli Federico II, Via Cintia, NapoliIstituto per le Appplicazioni del Calcolo "Mauro Picone", Consiglio Nazionale delle Ricerche, Via Pietro Castellino, NapoliA model is proposed to describe the spike-frequency adaptation observed in many neuronal systems. We assume that adaptation is mainly due to a calcium-activated potassium current, and we consider two coupled stochastic differential equations for which an analytical approach combined with simulation techniques and numerical methods allow to obtain both qualitative and quantitative results about asymptotic mean firing rate, mean calcium concentration and the firing probability density. A related algorithm, based on the Hazard Rate Method, is also devised and described.https://www.aimspress.com/article/doi/10.3934/mbe.2016002hazard rate method.calcium-activated potassium currentfast-slow analysis
spellingShingle Aniello Buonocore
Luigia Caputo
Enrica Pirozzi
Maria Francesca Carfora
A leaky integrate-and-fire model with adaptation for the generation of a spike train
Mathematical Biosciences and Engineering
hazard rate method.
calcium-activated potassium current
fast-slow analysis
title A leaky integrate-and-fire model with adaptation for the generation of a spike train
title_full A leaky integrate-and-fire model with adaptation for the generation of a spike train
title_fullStr A leaky integrate-and-fire model with adaptation for the generation of a spike train
title_full_unstemmed A leaky integrate-and-fire model with adaptation for the generation of a spike train
title_short A leaky integrate-and-fire model with adaptation for the generation of a spike train
title_sort leaky integrate and fire model with adaptation for the generation of a spike train
topic hazard rate method.
calcium-activated potassium current
fast-slow analysis
url https://www.aimspress.com/article/doi/10.3934/mbe.2016002
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