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dc.creatorPan, Linqiang
dc.creatorPaun, Gheorghe
dc.date.accessioned2016-03-22T11:41:37Z
dc.date.available2016-03-22T11:41:37Z
dc.date.issued2009
dc.identifier.isbn9788461328369es
dc.identifier.urihttp://hdl.handle.net/11441/38927
dc.description.abstractBesides usual spikes employed in spiking neural P systems, we consider "anti-spikes", which participate in spiking and forgetting rules, but also annihilate spikes when meeting in the same neuron. This simple extension of spiking neural P systems is shown to considerably simplify the universality proofs in this area: all rules become of the form bc ! b0 or bc ! ¸, where b; b0 are spikes or anti-spikes. Therefore, the regular expressions which control the spiking are the simplest possible, identifying only a singleton. A possible variation is not to produce anti-spikes in neurons, but to consider some "inhibitory synapses", which transform the spikes which pass along them into anti- spikes. Also in this case, universality is rather easy to obtain, with rules of the above simple forms.es
dc.description.sponsorshipJunta de Andalucía P08 – TIC 04200
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherFénix Editoraes
dc.relation.ispartofProceedings of the Seventh Brainstorming Week on Membrane Computing, vol.II, 139-150. Sevilla, E.T.S. de Ingeniería Informática, 2-6 de Febrero, 2009es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleSpiking Neural P Systems with Anti-Spikeses
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.relation.projectIDP08 – TIC 04200
dc.contributor.groupUniversidad de Sevilla. TIC193: Computación Natural
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/38927

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