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

Weighted 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 i...

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Detalles Bibliográficos
Autores principales: Ren, Qianqian, Liu, Xiyu, Sun, Minghe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519440/
https://www.ncbi.nlm.nih.gov/pubmed/33014033
http://dx.doi.org/10.1155/2020/8892240
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author Ren, Qianqian
Liu, Xiyu
Sun, Minghe
author_facet Ren, Qianqian
Liu, Xiyu
Sun, Minghe
author_sort Ren, Qianqian
collection PubMed
description Weighted 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.
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spelling pubmed-75194402020-10-02 Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes Ren, Qianqian Liu, Xiyu Sun, Minghe Comput Intell Neurosci Research Article Weighted 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. Hindawi 2020-09-17 /pmc/articles/PMC7519440/ /pubmed/33014033 http://dx.doi.org/10.1155/2020/8892240 Text en Copyright © 2020 Qianqian Ren et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ren, Qianqian
Liu, Xiyu
Sun, Minghe
Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes
title Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes
title_full Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes
title_fullStr Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes
title_full_unstemmed Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes
title_short Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes
title_sort turing universality of weighted spiking neural p systems with anti-spikes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7519440/
https://www.ncbi.nlm.nih.gov/pubmed/33014033
http://dx.doi.org/10.1155/2020/8892240
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