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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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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 |
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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 |
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