带反脉冲的同质脉冲神经膜系统  

Homogeneous Spiking Neural P Systems with Anti-spikes

作　　者：彭献武[1,2] 樊晓平[2,3] 刘建勋[1] 文宏[1,2] 梁伟[1] 

机构地区：[1]湖南科技大学知识处理与网络化制造实验室,湖南湘潭411201 [2]中南大学信息科学与工程学院,长沙410083 [3]湖南财政经济学院网络化系统研究所,长沙410205

出　　处：《小型微型计算机系统》2013年第8期1949-1953,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(61272063;61202462;51175169)资助;湖南省教育厅项目(12C0120)资助

摘　　要：脉冲神经膜系统是一种膜系统中吸收了脉冲神经网络特点的新型生物计算装置,具有强大的计算能力.带反脉冲的同质脉冲神经膜系统是使用了两种对象(称为脉冲和反脉冲)、且其中每个神经元具有相同规则集合的一种脉冲神经膜系统的变体.本文研究了无延迟规则和突触权值情况下的带反脉冲同质脉冲神经膜系统的计算通用性问题,证明了这种P系统无论是工作在产生模式,还是接收模式下都是计算通用的.本文解答了曾湘祥等人提出的关于是否存在无延迟规则的同质脉冲神经膜系统和如何移除突触权值的两个公开问题.Spiking neural P systems are a new class of bio-inspired computing devices incorporating the ideas of spiking neural net- works into P systems, and have powerful computational capability. Homogeneous Spiking neural P system with anti-spikes is a variant of an spiking neural P system consisting of two types of objects （ called spikes and anti-spikes } , and where each neuron has the same set of rules. In this paper, the universality of homogeneous spiking neural P systems with anti-spikes without delays and weighted syn- apses is investigated. We prove that such homogeneous P systems are universal both in the generating mode and in the accepting mode. This paper provides answers to two open problems about whether there is a universal homogeneous spiking neural P system without delays and how to eliminate weights on synapses formulated by Zeng Xiang-xiang et al.

关 键 词：膜计算 脉冲神经膜系统 带反脉冲的脉冲神经膜系统 同质 注册机 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]