Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4946596 | Neural Networks | 2017 | 17 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hong Peng, Jinyu Yang, Jun Wang, Tao Wang, Zhang Sun, Xiaoxiao Song, Xiaohui Luo, Xiangnian Huang,