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Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes
Joint Authors
Liu, Xiyu
Ren, Qianqian
Sun, Minghe
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Ren, Qianqian& Liu, Xiyu& Sun, Minghe. 2020. Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138958
Modern Language Association (MLA)
Ren, Qianqian…[et al.]. Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138958
American Medical Association (AMA)
Ren, Qianqian& Liu, Xiyu& Sun, Minghe. Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138958
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138958