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

页码：350 / 358

页数：9

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