We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Spiking Neural P Systems with Polarizations and Rules on Synapses.
- Authors
Jiang, Suxia; Fan, Jihui; Liu, Yijun; Wang, Yanfeng; Xu, Fei
- 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.
- Subjects
COMPUTABLE functions; BIOLOGICAL systems; ACTION potentials; BIOLOGICAL models; NEURONS
- Publication
Complexity, 2020, p1
- ISSN
1076-2787
- Publication type
Article
- DOI
10.1155/2020/8742308