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具有多通道和极化的脉冲神经P系统。

Spiking neural P systems with multiple channels and polarizations.

作者信息

Yang Qian, Lv Zeqiong, Liu Liucheng, Peng Hong, Song Xiaoxiao, Wang Jun

机构信息

School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.

School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.

出版信息

Biosystems. 2019 Nov;185:104020. doi: 10.1016/j.biosystems.2019.104020. Epub 2019 Aug 19.

Abstract

In this paper, we investigate a new variant of spiking neural P systems (SNP systems, in short), called spiking neural P systems with multiple channels and polarizations (SNP-MCP systems, in short). The variant integrates two interesting features: multiple channel and polarization. Each neuron can use its multiple channels to connect one or more subsequent sets of neurons. Moreover, both polarizations and regular expressions are used in rules to control the spiking of neurons. The computational power of the variant is discussed. The Turing universality of the variant as number generating/accepting devices is proven, and then a small universal system with 150 neurons is constructed to compute any Turing computable function.

摘要

在本文中,我们研究了脉冲神经P系统(简称为SNP系统)的一种新变体,称为具有多通道和极化的脉冲神经P系统(简称为SNP-MCP系统)。该变体集成了两个有趣的特性:多通道和极化。每个神经元可以使用其多个通道连接一个或多个后续神经元集。此外,规则中使用极化和正则表达式来控制神经元的脉冲发放。讨论了该变体的计算能力。证明了该变体作为数字生成/接受装置的图灵通用性,然后构建了一个具有150个神经元的小型通用系统来计算任何图灵可计算函数。

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