Block structured dynamics and neuronal coding

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dc.contributor	Universitat de Barcelona
dc.contributor.author	González-Miranda, J. M. (Jesús Manuel)
dc.date	2011-07-07T12:53:01Z
dc.date	2011-07-07T12:53:01Z
dc.date	2005
dc.identifier.citation	1063-651X
dc.identifier.citation	540400
dc.identifier.uri	http://hdl.handle.net/2445/18800
dc.format	8 p.
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	The American Physical Society
dc.relation	Reproducció del document publicat a: http://dx.doi.org/10.1103/PhysRevE.72.051922
dc.relation	Physical Review E, 2005, vol. 72, núm. 5, p. 051922-1-051922-1
dc.relation	http://dx.doi.org/10.1103/PhysRevE.72.051922
dc.rights	(c) American Physical Society, 2005
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Física mèdica
dc.subject	Sistemes no lineals
dc.subject	Medical physics
dc.subject	Nonlinear systems
dc.title	Block structured dynamics and neuronal coding
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.description.abstract	When certain control parameters of nervous cell models are varied, complex bifurcation structures develop in which the dynamical behaviors available appear classified in blocks, according to criteria of dynamical likelihood. This block structured dynamics may be a clue to understand how activated neurons encode information by firing spike trains of their action potentials.