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

Biology

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