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dc.creatorIbarra, Óscar H.
dc.creatorPaun, Andrei
dc.creatorPaun, Gheorghe
dc.creatorRodríguez Patón, Alfonso
dc.creatorSosík, Petr
dc.creatorWoodworth, Sara
dc.date.accessioned2016-03-11T08:27:06Z
dc.date.available2016-03-11T08:27:06Z
dc.date.issued2006
dc.identifier.isbn8461106814es
dc.identifier.urihttp://hdl.handle.net/11441/38390
dc.description.abstractThe spiking neural P systems are a class of computing devices recently introduced as a bridge between spiking neural nets and membrane computing. In this paper we prove a series of normal forms for spiking neural P systems, concerning the regular expressions used in the firing rules, the delay between firing and spiking, the forgetting rules used, and the outdegree of the graph of synapses. In all cases, surprising simplifications are found, without losing the computational universality – sometimes at the price of (slightly) increasing other parameters which describe the complexity of these systems.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherFénix Editoraes
dc.relation.ispartofProceedings of the Fourth Brainstorming Week on Membrane Computing, Vol.II, 105-135. Sevilla, E.T.S. de Ingeniería Informática, 30 de Enero-3 de Febrero, 2006es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleNormal Forms for Spiking Neural P Systemses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
dc.contributor.groupUniversidad de Sevilla. TIC193: Computación Natural
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/38390

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional