Reversible spiking neural P systems

被引：14
|
作者：
Song, Tao [1 ]
Shi, Xiaolong [1 ]
Xu, Jinbang [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China
来源：
FRONTIERS OF COMPUTER SCIENCE | 2013年 / 7卷 / 03期
基金：
中国国家自然科学基金; 美国国家科学基金会;
关键词：
membrane computing; spiking neural P system; reversible computing model; universality; reversible register machine; MACHINE;
D O I：
10.1007/s11704-013-2061-2
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Spiking neural (SN) P systems are a class of distributed parallel computing devices inspired by the way neurons communicate by means of spikes. In this work, we investigate reversibility in SN P systems, as well as the computing power of reversible SN P systems. Reversible SN P systems are proved to have Turing creativity, that is, they can compute any recursively enumerable set of non-negative integers by simulating universal reversible register machine.
引用
收藏
页码：350 / 358
页数：9
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