Cargando…

Numerical simulation of fractional Cable equation of spiny neuronal dendrites

In this article, numerical study for the fractional Cable equation which is fundamental equations for modeling neuronal dynamics is introduced by using weighted average of finite difference methods. The stability analysis of the proposed methods is given by a recently proposed procedure similar to t...

Descripción completa

Detalles Bibliográficos
Autores principales: Sweilam, N.H., Khader, M.M., Adel, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4294725/
https://www.ncbi.nlm.nih.gov/pubmed/25685492
http://dx.doi.org/10.1016/j.jare.2013.03.006
_version_ 1782352756783185920
author Sweilam, N.H.
Khader, M.M.
Adel, M.
author_facet Sweilam, N.H.
Khader, M.M.
Adel, M.
author_sort Sweilam, N.H.
collection PubMed
description In this article, numerical study for the fractional Cable equation which is fundamental equations for modeling neuronal dynamics is introduced by using weighted average of finite difference methods. The stability analysis of the proposed methods is given by a recently proposed procedure similar to the standard John von Neumann stability analysis. A simple and an accurate stability criterion valid for different discretization schemes of the fractional derivative and arbitrary weight factor is introduced and checked numerically. Numerical results, figures, and comparisons have been presented to confirm the theoretical results and efficiency of the proposed method.
format Online
Article
Text
id pubmed-4294725
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-42947252015-02-14 Numerical simulation of fractional Cable equation of spiny neuronal dendrites Sweilam, N.H. Khader, M.M. Adel, M. J Adv Res Original Article In this article, numerical study for the fractional Cable equation which is fundamental equations for modeling neuronal dynamics is introduced by using weighted average of finite difference methods. The stability analysis of the proposed methods is given by a recently proposed procedure similar to the standard John von Neumann stability analysis. A simple and an accurate stability criterion valid for different discretization schemes of the fractional derivative and arbitrary weight factor is introduced and checked numerically. Numerical results, figures, and comparisons have been presented to confirm the theoretical results and efficiency of the proposed method. Elsevier 2014-03 2013-03-31 /pmc/articles/PMC4294725/ /pubmed/25685492 http://dx.doi.org/10.1016/j.jare.2013.03.006 Text en © 2013 Cairo University. Production and hosting by Elsevier B.V. All rights reserved. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Original Article
Sweilam, N.H.
Khader, M.M.
Adel, M.
Numerical simulation of fractional Cable equation of spiny neuronal dendrites
title Numerical simulation of fractional Cable equation of spiny neuronal dendrites
title_full Numerical simulation of fractional Cable equation of spiny neuronal dendrites
title_fullStr Numerical simulation of fractional Cable equation of spiny neuronal dendrites
title_full_unstemmed Numerical simulation of fractional Cable equation of spiny neuronal dendrites
title_short Numerical simulation of fractional Cable equation of spiny neuronal dendrites
title_sort numerical simulation of fractional cable equation of spiny neuronal dendrites
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4294725/
https://www.ncbi.nlm.nih.gov/pubmed/25685492
http://dx.doi.org/10.1016/j.jare.2013.03.006
work_keys_str_mv AT sweilamnh numericalsimulationoffractionalcableequationofspinyneuronaldendrites
AT khadermm numericalsimulationoffractionalcableequationofspinyneuronaldendrites
AT adelm numericalsimulationoffractionalcableequationofspinyneuronaldendrites