Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes

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dc.contributor.authorRen, Qianqian
dc.contributor.authorLiu, Xiyu
dc.contributor.authorSun, Minghe
dc.creator.orcidhttps://orcid.org/0000-0001-8503-9761en_US
dc.date.accessioned2023-04-03T15:59:27Z
dc.date.available2023-04-03T15:59:27Z
dc.date.issued2020-09-17
dc.description.abstractWeighted spiking neural P systems with anti-spikes (AWSN P systems) are proposed by adding anti-spikes to spiking neural P systems with weighted synapses. Anti-spikes behave like spikes of inhibition of communication between neurons. Both spikes and anti-spikes are used in the rule expressions. An illustrative example is given to show the working process of the proposed AWSN P systems. The Turing universality of the proposed P systems as number generating and accepting devices is proved. Finally, a universal AWSN P system having 34 neurons is proved to work as a function computing device by using standard rules, and one having 30 neurons is proved to work as a number generator.en_US
dc.description.departmentManagement Science and Statisticsen_US
dc.description.sponsorshipNational Natural Science Foundation of China; Social Science Fund Project of Shandong; China Postdoctoral Science Foundation Funded Project; Natural Science Foundation of Shandong Province; China Postdoctoral Special Funding Project; Youth Fund for Humanities and Social Sciences, Ministry of Educationen_US
dc.identifier.citationRen, Q., Liu, X., & Sun, M. (2020). Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes. Computational Intelligence and Neuroscience, 2020, 8892240. doi:10.1155/2020/8892240en_US
dc.identifier.issn1687-5273
dc.identifier.otherhttps://doi.org/10.1155/2020/8892240
dc.identifier.urihttps://hdl.handle.net/20.500.12588/1804
dc.language.isoen_USen_US
dc.publisherHindawien_US
dc.relation.ispartofseriesComputational Intelligence and Neuroscience, 2020;
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleTuring Universality of Weighted Spiking Neural P Systems with Anti-spikesen_US
dc.typeArticleen_US

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