Spiking Neural P Systems with Polarizations and Rules on Synapses
Open Access
- 9 July 2020
- journal article
- research article
- Published by Wiley in Complexity
- Vol. 2020, 1-12
Abstract
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.Keywords
Funding Information
- National Natural Science Foundation of China (61902360, 61772214, U1804262, 61632002, 61502186, 2019GGJS131, 2017YFE0103900, 2016M592335, 2019kfyXMBZ056)
- National Natural Science Foundation of China (61902360, 61772214, U1804262, 61632002, 61502186, 2019GGJS131, 2017YFE0103900, 2016M592335, 2019kfyXMBZ056)
- National Natural Science Foundation of China (61902360, 61772214, U1804262, 61632002, 61502186, 2019GGJS131, 2017YFE0103900, 2016M592335, 2019kfyXMBZ056)
- National Natural Science Foundation of China (61902360, 61772214, U1804262, 61632002, 61502186, 2019GGJS131, 2017YFE0103900, 2016M592335, 2019kfyXMBZ056)
- National Natural Science Foundation of China (61902360, 61772214, U1804262, 61632002, 61502186, 2019GGJS131, 2017YFE0103900, 2016M592335, 2019kfyXMBZ056)
- Henan University (61902360, 61772214, U1804262, 61632002, 61502186, 2019GGJS131, 2017YFE0103900, 2016M592335, 2019kfyXMBZ056)
- National Key R&D Program of China for International S&T Cooperation Projects (61902360, 61772214, U1804262, 61632002, 61502186, 2019GGJS131, 2017YFE0103900, 2016M592335, 2019kfyXMBZ056)
- China Postdoctoral Science Foundation (61902360, 61772214, U1804262, 61632002, 61502186, 2019GGJS131, 2017YFE0103900, 2016M592335, 2019kfyXMBZ056)
- Fundamental Research Funds for the Central Universities (61902360, 61772214, U1804262, 61632002, 61502186, 2019GGJS131, 2017YFE0103900, 2016M592335, 2019kfyXMBZ056)
This publication has 39 references indexed in Scilit:
- Characterizing PSPACE with shallow non-confluent P systemsJournal of Membrane Computing, 2019
- The Computational Power of Cell-like P Systems with Symport/Antiport Rules and PromotersFundamenta Informaticae, 2019
- Spiking Neural P Systems With Scheduled SynapsesIEEE Transactions on Nanobioscience, 2017
- On simulating cooperative transition P systems in evolution–communication P systems with energyNatural Computing, 2016
- Monodirectional P systemsNatural Computing, 2016
- Programmable Logic Controller Stage Programming Using Spiking Neural P SystemsJournal of Computational and Theoretical Nanoscience, 2015
- Spiking neural P systems with structural plasticityNeural Computing and Applications, 2015
- On the Universality of Axon P SystemsIEEE Transactions on Neural Networks and Learning Systems, 2015
- Tissue P systemsTheoretical Computer Science, 2003
- Computing with MembranesJournal of Computer and System Sciences, 2000