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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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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. |
format | Online Article Text |
id | pubmed-7519440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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