Spiking neural P systems with rules on synapses

被引:127
|
作者
Song, Tao [1 ]
Pan, Linqiang [1 ]
Paun, Gheorghe [2 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Automat, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Hubei, Peoples R China
[2] Romanian Acad, Inst Math, Bucharest 014700, Romania
基金
中国国家自然科学基金;
关键词
Membrane computing; Rule on synapse; Small universal system; Spiking neural P system;
D O I
10.1016/j.tcs.2014.01.001
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Spiking neural P systems(SN P systems, for short) are a class of membrane systems inspired from the way the neurons process information and communicate by means of spikes. In this paper, we introduce and investigate a new class of SN P systems, with spiking rules placed on synapses. The computational completeness is first proved, then two small universal SN P systems with rules on synapses for computing functions are constructed. Specifically, when using standard spiking rules, we obtain a universal system with 39 neurons, while when using extended spiking rules on synapses, a universal SN P system with 30 neurons is constructed. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:82 / 95
页数:14
相关论文
共 50 条
  • [1] Competitive Spiking Neural P Systems With Rules on Synapses
    Peng, Hong
    Chen, Ru
    Wang, Jun
    Song, Xiaoxiao
    Wang, Tao
    Yang, Fan
    Sun, Zhang
    IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2017, 16 (08) : 888 - 895
  • [2] Spiking Neural P Systems with Polarizations and Rules on Synapses
    Jiang, Suxia
    Fan, Jihui
    Liu, Yijun
    Wang, Yanfeng
    Xu, Fei
    COMPLEXITY, 2020, 2020
  • [3] Weighted Spiking Neural P Systems with Rules on Synapses
    Zhang, Xingyi
    Zeng, Xiangxiaing
    Pan, Linqiang
    FUNDAMENTA INFORMATICAE, 2014, 134 (1-2) : 201 - 218
  • [4] Asynchronous spiking neural P systems with rules on synapses
    Song, Tao
    Zou, Quan
    Liu, Xiangrong
    Zeng, Xiangxiang
    NEUROCOMPUTING, 2015, 151 : 1439 - 1445
  • [5] Spiking Neural P Systems with Polarizations and Rules on Synapses
    Jiang, Suxia
    Fan, Jihui
    Liu, Yijun
    Wang, Yanfeng
    Xu, Fei
    Complexity, 2020, 2020
  • [6] On solutions and representations of spiking neural P systems with rules on synapses
    Cabarle, Francis George C.
    de la Cruz, Ren Tristan A.
    Cailipan, Dionne Peter P.
    Zhang, Defu
    Liu, Xiangrong
    Zeng, Xiangxiang
    INFORMATION SCIENCES, 2019, 501 : 30 - 49
  • [7] Spiking Neural P Systems With Rules on Synapses Working in Maximum Spiking Strategy
    Song, Tao
    Pan, Linqiang
    IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2015, 14 (04) : 465 - 477
  • [8] Arithmetic Operations with Spiking Neural P Systems with Rules and Weights on Synapses
    Wang, H. F.
    Zhou, K.
    Zhang, G. X.
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2018, 13 (04) : 574 - 589
  • [9] Asynchronous spiking neural P systems with rules on synapses and coupled neurons
    Zhang, Luping
    Xu, Fei
    KNOWLEDGE-BASED SYSTEMS, 2022, 257
  • [10] Spiking neural P systems with rules on synapses and anti-spikes
    Wu, Tingfang
    Wang, Yanfeng
    Jiang, Suxia
    Su, Yansen
    Shi, Xiaolong
    THEORETICAL COMPUTER SCIENCE, 2018, 724 : 13 - 27