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
来源：
THEORETICAL COMPUTER SCIENCE | 2014年 / 529卷
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
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