Spiking Neural P Systems with Polarizations and Rules on Synapses
Spiking neural P systems are a class of computation models inspired by the biological neural systems, where spikes and spiking rules are in neurons. In this work, we propose a variant of spiking neural P systems, called spiking neural P systems with polarizations and rules on synapses (PSNRS P syste...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8742308 |
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| author | Suxia Jiang Jihui Fan Yijun Liu Yanfeng Wang Fei Xu |
| author_facet | Suxia Jiang Jihui Fan Yijun Liu Yanfeng Wang Fei Xu |
| author_sort | Suxia Jiang |
| collection | DOAJ |
| description | Spiking neural P systems are a class of computation models inspired by the biological neural systems, where spikes and spiking rules are in neurons. In this work, we propose a variant of spiking neural P systems, called spiking neural P systems with polarizations and rules on synapses (PSNRS P systems), where spiking rules are placed on synapses and neurons are associated with polarizations used to control the application of such spiking rules. The computation power of PSNRS P systems is investigated. It is proven that PSNRS P systems are Turing universal, both as number generating and accepting devices. Furthermore, a universal PSNRS P system with 151 neurons for computing any Turing computable functions is given. Compared with the case of SN P systems with polarizations but without spiking rules in neurons, less number of neurons are used to construct a universal PSNRS P system. |
| format | Article |
| id | doaj-art-32e4078f48884f39a010ef394b8aae74 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-32e4078f48884f39a010ef394b8aae742025-02-03T06:05:12ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/87423088742308Spiking Neural P Systems with Polarizations and Rules on SynapsesSuxia Jiang0Jihui Fan1Yijun Liu2Yanfeng Wang3Fei Xu4Henan Key Lab of Information Based Electrical Appliances, School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, ChinaHenan Key Lab of Information Based Electrical Appliances, School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, ChinaHenan Key Lab of Information Based Electrical Appliances, School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, ChinaHenan Key Lab of Information Based Electrical Appliances, School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, ChinaKey Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, Hubei, ChinaSpiking neural P systems are a class of computation models inspired by the biological neural systems, where spikes and spiking rules are in neurons. In this work, we propose a variant of spiking neural P systems, called spiking neural P systems with polarizations and rules on synapses (PSNRS P systems), where spiking rules are placed on synapses and neurons are associated with polarizations used to control the application of such spiking rules. The computation power of PSNRS P systems is investigated. It is proven that PSNRS P systems are Turing universal, both as number generating and accepting devices. Furthermore, a universal PSNRS P system with 151 neurons for computing any Turing computable functions is given. Compared with the case of SN P systems with polarizations but without spiking rules in neurons, less number of neurons are used to construct a universal PSNRS P system.http://dx.doi.org/10.1155/2020/8742308 |
| spellingShingle | Suxia Jiang Jihui Fan Yijun Liu Yanfeng Wang Fei Xu Spiking Neural P Systems with Polarizations and Rules on Synapses Complexity |
| title | Spiking Neural P Systems with Polarizations and Rules on Synapses |
| title_full | Spiking Neural P Systems with Polarizations and Rules on Synapses |
| title_fullStr | Spiking Neural P Systems with Polarizations and Rules on Synapses |
| title_full_unstemmed | Spiking Neural P Systems with Polarizations and Rules on Synapses |
| title_short | Spiking Neural P Systems with Polarizations and Rules on Synapses |
| title_sort | spiking neural p systems with polarizations and rules on synapses |
| url | http://dx.doi.org/10.1155/2020/8742308 |
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