A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model

A method to generate first passage times for a class of stochastic processes is proposed. It does not require construction of the trajectories as usually needed in simulation studies, but is based on an integral equation whose unknown quantity is the probability density function of the studied first...

Full description

Saved in:
Bibliographic Details
Main Authors: Aniello Buonocore, Luigia Caputo, Enrica Pirozzi, Maria Francesca Carfora
Format: Article
Language:English
Published: AIMS Press 2013-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832590118867697664
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 method to generate first passage times for a class of stochastic processes is proposed. It does not require construction of the trajectories as usually needed in simulation studies, but is based on an integral equation whose unknown quantity is the probability density function of the studied first passage times and on the application of the hazard rate method. The proposed procedure is particularly efficient in the case of the Ornstein-Uhlenbeck process, which is important for modeling spiking neuronal activity.
format Article
id doaj-art-63e6b239c6284661a1a915099bb4b852
institution Kabale University
issn 1551-0018
language English
publishDate 2013-08-01
publisher AIMS Press
record_format Article
series Mathematical Biosciences and Engineering
spelling doaj-art-63e6b239c6284661a1a915099bb4b8522025-01-24T02:26:48ZengAIMS PressMathematical Biosciences and Engineering1551-00182013-08-0111111010.3934/mbe.2014.11.1A simple algorithm to generate firing times for leaky integrate-and-fire neuronal modelAniello Buonocore0Luigia Caputo1Enrica Pirozzi2Maria Francesca Carfora3Dipartimento di Matematica e Applicazioni, Università di Napoli Federico II, Via Cintia, 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 method to generate first passage times for a class of stochastic processes is proposed. It does not require construction of the trajectories as usually needed in simulation studies, but is based on an integral equation whose unknown quantity is the probability density function of the studied first passage times and on the application of the hazard rate method. The proposed procedure is particularly efficient in the case of the Ornstein-Uhlenbeck process, which is important for modeling spiking neuronal activity.https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1spike train generationornstein-uhlenbeck processfirst passage timehazard rate method.instantaneous firing rate
spellingShingle Aniello Buonocore
Luigia Caputo
Enrica Pirozzi
Maria Francesca Carfora
A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model
Mathematical Biosciences and Engineering
spike train generation
ornstein-uhlenbeck process
first passage time
hazard rate method.
instantaneous firing rate
title A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model
title_full A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model
title_fullStr A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model
title_full_unstemmed A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model
title_short A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model
title_sort simple algorithm to generate firing times for leaky integrate and fire neuronal model
topic spike train generation
ornstein-uhlenbeck process
first passage time
hazard rate method.
instantaneous firing rate
url https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1
work_keys_str_mv AT aniellobuonocore asimplealgorithmtogeneratefiringtimesforleakyintegrateandfireneuronalmodel
AT luigiacaputo asimplealgorithmtogeneratefiringtimesforleakyintegrateandfireneuronalmodel
AT enricapirozzi asimplealgorithmtogeneratefiringtimesforleakyintegrateandfireneuronalmodel
AT mariafrancescacarfora asimplealgorithmtogeneratefiringtimesforleakyintegrateandfireneuronalmodel
AT aniellobuonocore simplealgorithmtogeneratefiringtimesforleakyintegrateandfireneuronalmodel
AT luigiacaputo simplealgorithmtogeneratefiringtimesforleakyintegrateandfireneuronalmodel
AT enricapirozzi simplealgorithmtogeneratefiringtimesforleakyintegrateandfireneuronalmodel
AT mariafrancescacarfora simplealgorithmtogeneratefiringtimesforleakyintegrateandfireneuronalmodel