• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (3): 1-7.

• 论文 •     Next Articles

Universal homogeneous spiking neural P systems without delays

PENG Xianwu1,2,FAN Xiaoping1,3,LIU Jianxun2,WEN Hong1,2   

  1. (1.College of Information Science and Engineering,Central South University,Changsha 410083;
    2.Key Laboratory of Knowledge Processing and Networked Manufacturing,
    Hunan University of Science and Technology,Xiangtan 411201;
    3.Laboratory of Networked Systems,Hunan University of Finance and Economics,Changsha 410205,China)
  • Received:2012-03-31 Revised:2012-06-21 Online:2013-03-25 Published:2013-03-25

Abstract:

Spiking neural P systems are a new class of bioinspired computing devices incorporating the ideas of spiking neural networks into P systems, and have powerful computational capability. Homogeneous spiking neural P systems are a restricted variant of spiking neural P systems, where each neuron has the same set of rules. The universality of two kinds of homogeneous spiking neural P systems without delays is investigated, including homogeneous spiking neural P systems with weighted synapses and without weight on synapses. We proved that these two kinds of homogeneous spiking neural P systems are universal in both the generating mode and the accepting mode. This paper provides an answer to an open issue about whether there is a universal homogeneous spiking neural P system without delays proposed by Zeng Xiangxiang,Zhang Xingyi and Pan Linqiang.

Key words: membrane computing;spiking neural P systems;homogeneous;delays;register machine