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  • 标题:Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes
  • 本地全文:下载
  • 作者:Qianqian Ren ; Xiyu Liu ; Minghe Sun
  • 期刊名称:Computational Intelligence and Neuroscience
  • 印刷版ISSN:1687-5265
  • 电子版ISSN:1687-5273
  • 出版年度:2020
  • 卷号:2020
  • 页码:1-10
  • DOI:10.1155/2020/8892240
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    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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