Spreading depression in mainly locally connected cellular automaton

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dc.contributor.authorMonteiro L.H.A.
dc.contributor.authorPaiva D.C.
dc.contributor.authorPiqueira J.R.C.
dc.date.accessioned2024-03-13T01:41:37Z
dc.date.available2024-03-13T01:41:37Z
dc.date.issued2006
dc.description.abstractA computational model based on cellular automaton (CA) is developed for studying the spreading depression (SD) phenomenon. CA cells correspond to neurons which are mainly locally connected. The influence of the parameter values in the spatiotemporal dynamics is investigated in order to obtain ways of reducing, or even preventing, occurrences of SD. © World Scientific Publishing Company.
dc.description.firstpage617
dc.description.issuenumber4
dc.description.lastpage629
dc.description.volume14
dc.identifier.doi10.1142/S0218339006001957
dc.identifier.issn0218-3390
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37743
dc.relation.ispartofJournal of Biological Systems
dc.rightsAcesso Restrito
dc.subject.otherlanguageCellular automaton
dc.subject.otherlanguageNeural network
dc.subject.otherlanguageSpreading depression
dc.subject.otherlanguageTraveling wave
dc.titleSpreading depression in mainly locally connected cellular automaton
dc.typeArtigo
local.scopus.citations12
local.scopus.eid2-s2.0-33845569158
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33845569158&origin=inward
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