dc.creatorWang W.
dc.creatorPerez G.
dc.creatorCerdeira H.A.
dc.date1993
dc.date2015-06-30T14:33:22Z
dc.date2015-11-26T14:44:08Z
dc.date2015-06-30T14:33:22Z
dc.date2015-11-26T14:44:08Z
dc.date.accessioned2018-03-28T21:52:44Z
dc.date.available2018-03-28T21:52:44Z
dc.identifier
dc.identifierPhysical Review E. , v. 47, n. 4, p. 2893 - 2898, 1993.
dc.identifier1063651X
dc.identifier10.1103/PhysRevE.47.2893
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0037941928&partnerID=40&md5=1bf786b0800795423f791f7e63fca25f
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/99871
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/99871
dc.identifier2-s2.0-0037941928
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1251994
dc.descriptionThe time-interval sequences and the spatiotemporal patterns of the firings of a coupled neuronal network are investigated in this paper. For a single neuron stimulated by an external stimulus I, the time-interval sequences show a low-frequency firing of bursts of spikes and a reversed period-doubling cascade to a high-frequency repetitive firing state as the stimulus I is increased. For two neurons coupled to each other through the firing of the spikes, the complexity of the time-interval sequences becomes simple as the coupling strength increases. A network with a large number of neurons shows a complex spatiotemporal pattern structure. As the coupling strength increases, the number of phase-locked neurons increases and the time-interval diagram shows temporal chaos and a bifurcation in the space. The dynamical behavior is also verified by the behavior of the Lyapunov exponent. © 1993 The American Physical Society.
dc.description47
dc.description4
dc.description2893
dc.description2898
dc.languageen
dc.publisher
dc.relationPhysical Review E
dc.rightsfechado
dc.sourceScopus
dc.titleDynamical Behavior Of The Firings In A Coupled Neuronal System
dc.typeArtículos de revistas


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