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

المؤلفون المشاركون

Liu, Xiyu
Ren, Qianqian
Sun, Minghe

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-09-17

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

الأحياء

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1138958