Computer Science ›› 2022, Vol. 49 ›› Issue (8): 217-224.doi: 10.11896/jsjkx.220300078

• Artificial Intelligence • Previous Articles     Next Articles

Survey on Spiking Neural P Systems with Rules on Synapses

ZHANG Lu-ping, XU Fei   

  1. Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China,School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China
  • Received:2022-03-08 Revised:2022-04-18 Published:2022-08-02
  • About author:ZHANG Lu-ping,born in 1982,master,associated professor.Her main research interests include natural computing and membrane computing.
    XU Fei,born in 1984,Ph.D,research associate.His main research interests include natural computing,DNA computing and its applications in bio-medicine.
  • Supported by:
    National Natural Science Foundation of China(62072201),National Key R & D Program of China for Interna-tional S & T Cooperation Projects(2021YFE0102100),Provincial Key R & D Program of Hubei(2021BAA168),China Postdoctoral Science Foundation(2020M672359) and Fundamental Research Funds for the Central Universities(HUST:2019kfyXMBZ056).

Abstract: 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.

Key words: Bio-inspired computing, Computation power, Membrane computing, Rules on synapses, Spiking neural P systems

CLC Number: 

  • TP301
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