Survey on Spiking Neural P Systems with Rules on Synapses
| Autor: | ZHANG Lu-ping, XU Fei |
|---|---|
| Jazyk: | čínština |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Jisuanji kexue, Vol 49, Iss 8, Pp 217-224 (2022) |
| Druh dokumentu: | article |
| ISSN: | 1002-137X 04645979 |
| DOI: | 10.11896/jsjkx.220300078 |
| Popis: | Membrane systems are a class of bio-inspired computing models,inspired by the structure and function of cells,tissue,organ and bio-systems.Spiking neural P systems with rules on synapses(SNPRS) are a type of membrane systems,inspired by the way that neurons communicate information.In SNPRS,each neuron is a basic unit for storing information,and each synapse is a medium for integrating and transmitting information.The whole system processes information in the distributed and parallel way.In this paper,we review the definition and related notions of SNPRS.Then,we introduce a few variants of SNPRS,and give a comparison among the variants of SNPRS.Furthermore,we provide results on the computation power of SNPRS(and their variants) working in different modes and on the application of the systems,such as solving NP-hard problems,implementing arithmetic operations,and breaking RSA.Additionally,some open problems are provided to suggest directions for further theore-tical as well as applicable research on SNPRS. |
| Databáze: | Directory of Open Access Journals |
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