نمایش مختصر رکورد

dc.contributor.authorAsgari, Yazdanen_US
dc.contributor.authorGhaemi, Mehrdaden_US
dc.contributor.authorMahjani, Mohammad Ghasemen_US
dc.date.accessioned1399-07-08T20:13:32Zfa_IR
dc.date.accessioned2020-09-29T20:13:32Z
dc.date.available1399-07-08T20:13:32Zfa_IR
dc.date.available2020-09-29T20:13:32Z
dc.date.issued2011-03-01en_US
dc.date.issued1389-12-10fa_IR
dc.date.submitted2010-03-15en_US
dc.date.submitted1388-12-24fa_IR
dc.identifier.citationAsgari, Yazdan, Ghaemi, Mehrdad, Mahjani, Mohammad Ghasem. (2011). Pattern Formation of the FitzHugh-Nagumo Model: Cellular Automata Approach. Iranian Journal of Chemistry and Chemical Engineering (IJCCE), 30(1), 135-142.en_US
dc.identifier.issn1021-9986
dc.identifier.urihttp://www.ijcce.ac.ir/article_6365.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/83843
dc.description.abstract<em>FitzHugh-Nagumo (FHN) model is a famous Reaction-Diffusion System which first introduced for the conduction of electrical impulses along a nerve fiber. This model is also considered as an abstract model for pattern formation. Here, we have used the Cellular Automata method to simulate the pattern formation of the FHN model. It is shown that the pattern of this model is very similar to those of a kind of a rabbitfish which implies natural patterns could be based on reaction-diffusion systems. We have also considered the effects of different parameters of the FHN model on changing the initial pattern.</em>en_US
dc.format.extent275
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherIranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECRen_US
dc.relation.ispartofIranian Journal of Chemistry and Chemical Engineering (IJCCE)en_US
dc.subjectReaction-diffusion systemsen_US
dc.subjectFitzHugh-Nagumo Modelen_US
dc.subjectPattern formationen_US
dc.subjectCellular automataen_US
dc.subjectBiochemistry & Biological Chemistryen_US
dc.titlePattern Formation of the FitzHugh-Nagumo Model: Cellular Automata Approachen_US
dc.typeTexten_US
dc.typeResearch Articleen_US
dc.contributor.departmentLaboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, P.O. Box 13145-1384 Tehran, I.R. IRANen_US
dc.contributor.departmentDepartment of Chemistry, Tarbiat Moallem University, P.O. Box 15719-14911 Tehran, I.R. IRANen_US
dc.contributor.departmentDepartment of Chemistry, K.N. Toosi University of Technology, P.O. Box 4416-15875 Tehran, I.R. IRANen_US
dc.citation.volume30
dc.citation.issue1
dc.citation.spage135
dc.citation.epage142


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