dc.contributor.editor | Enachescu, C. | es |
dc.contributor.editor | Filip, F. | es |
dc.contributor.editor | Iantovics, B. | es |
dc.creator | Pan, Linqiang | es |
dc.creator | Paun, Gheorghe | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2018-10-22T08:28:12Z | |
dc.date.available | 2018-10-22T08:28:12Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Pan, L., Paun, G., y Pérez Jiménez, M.d.J. (2012). Spiking Neural P Systems: A Short Introduction and New Normal Forms. En C. Enachescu, F. Filip, B. Iantovics (Ed.), Advanced Computational Technologies (pp. 1-21). Bucharest: Editorial Academiei | |
dc.identifier.uri | https://hdl.handle.net/11441/79566 | |
dc.description.abstract | Spiking neural P systems are a class of P systems inspired from the way
the neurons communicate with each other by means of electrical impulses (called
\spikes"). In the few years since this model was introduced, many results related
to the computing power and e ciency of these computing devices were reported.
The present paper quickly surveys the basic ideas of this research area and the basic
results, then, as typical proofs about the universality of spiking neural P systems,
we present some new normal forms for them. Speci cally, we consider a natural
restriction in the architecture of a spiking neural P system, to have neurons of a
small number of types (i.e., using a small number of sets of rules). We prove that
three types of neurons are su cient in order to generate each recursively enumerable
set of numbers as the distance between the rst two spikes emitted by the system;
the problem remains open for accepting SN P systems. The paper ends with the
complete bibliography of this domain, at the level of April 2009. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia TIN2006-13452 | es |
dc.description.sponsorship | Junta de Andalucía P08-TIC-04200 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Editorial Academiei | es |
dc.relation.ispartof | Advanced Computational Technologies | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Spiking Neural P Systems: A Short Introduction and New Normal Forms | es |
dc.type | info:eu-repo/semantics/bookPart | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2006-13452 | es |
dc.relation.projectID | P08-TIC-04200 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
idus.format.extent | 13 | es |
dc.publication.initialPage | 1 | es |
dc.publication.endPage | 21 | es |
dc.relation.publicationplace | Bucharest | es |
dc.contributor.funder | Ministerio de Educación y Ciencia (MEC). España | |
dc.contributor.funder | Junta de Andalucía | |