School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.
School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.
Neural Netw. 2017 Nov;95:66-71. doi: 10.1016/j.neunet.2017.08.003. Epub 2017 Aug 24.
Spiking neural P systems (SNP systems, in short) are a class of distributed parallel computing systems inspired from the neurophysiological behavior of biological spiking neurons. In this paper, we investigate a new variant of SNP systems in which each neuron has one or more synaptic channels, called spiking neural P systems with multiple channels (SNP-MC systems, in short). The spiking rules with channel label are introduced to handle the firing mechanism of neurons, where the channel labels indicate synaptic channels of transmitting the generated spikes. The computation power of SNP-MC systems is investigated. Specifically, we prove that SNP-MC systems are Turing universal as both number generating and number accepting devices.
尖峰神经网络系统(SNP 系统,简称)是一类受生物尖峰神经元的神经生理行为启发的分布式并行计算系统。在本文中,我们研究了 SNP 系统的一个新变体,其中每个神经元具有一个或多个突触通道,称为具有多个通道的尖峰神经网络系统(SNP-MC 系统,简称)。引入带有通道标签的尖峰规则来处理神经元的发射机制,其中通道标签表示传输生成的尖峰的突触通道。研究了 SNP-MC 系统的计算能力。具体来说,我们证明 SNP-MC 系统作为生成和接受数字的设备是图灵完备的。