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dc.creatorIbarra, Óscar H.es
dc.creatorPérez Jiménez, Mario de Jesúses
dc.creatorYokomori, Takashies
dc.date.accessioned2018-01-25T10:16:39Z
dc.date.available2018-01-25T10:16:39Z
dc.date.issued2010
dc.identifier.citationIbarra, Ó.H., Pérez Jiménez, M.d.J. y Yokomori, T. (2010). On spiking neural P systems. Natural computing, 9 (2), 475-491.
dc.identifier.issn1567-7818es
dc.identifier.urihttps://hdl.handle.net/11441/69540
dc.description.abstractThis work deals with several aspects concerning the formal verification of SN P systems and the computing power of some variants. A methodology based on the information given by the transition diagram associated with an SN P system is presented. The analysis of the diagram cycles codifies invariants formulae which enable us to establish the soundness and completeness of the system with respect to the problem it tries to resolve. We also study the universality of asynchronous and sequential SN P systems and the capability these models have to generate certain classes of languages. Further, by making a slight modification to the standard SN P systems, we introduce a new variant of SN P systems with a special I/O mode, called SN P modules, and study their computing power. It is demonstrated that, as string language acceptors and transducers, SN P modules can simulate several types of computing devices such as finite automata, a-finite transducers, and systolic trellis automata.es
dc.description.sponsorshipMinisterio de Educación y Ciencia TIN2006-13425es
dc.description.sponsorshipJunta de Andalucía TIC-581es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofNatural computing, 9 (2), 475-491.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSpiking neural P systemes
dc.subjectFormal verificationes
dc.subjectUniversalityes
dc.subjectAsynchronouses
dc.subjectSequentiales
dc.subjectFinite automatones
dc.subjectFinite state transduceres
dc.subjectSystolic trellis automatones
dc.titleOn spiking neural P systemses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.projectIDTIN2006-13425es
dc.relation.projectIDTIC-581es
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s11047-009-9159-3es
dc.identifier.doi10.1007/s11047-009-9159-3es
idus.format.extent17es
dc.journaltitleNatural computinges
dc.publication.volumen9es
dc.publication.issue2es
dc.publication.initialPage475es
dc.publication.endPage491es
dc.identifier.sisius6606682es
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). España
dc.contributor.funderJunta de Andalucía

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