Literature DB >> 28892672

Spiking neural P systems with multiple channels.

Hong Peng1, Jinyu Yang2, Jun Wang3, Tao Wang4, Zhang Sun4, Xiaoxiao Song4, Xiaohui Luo2, Xiangnian Huang2.   

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.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Membrane computing; Multiple channels; Spiking neural P systems; Universality

Mesh:

Year:  2017        PMID: 28892672     DOI: 10.1016/j.neunet.2017.08.003

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  2 in total

1.  An improved DBSCAN algorithm based on cell-like P systems with promoters and inhibitors.

Authors:  Yuzhen Zhao; Xiyu Liu; Xiufeng Li
Journal:  PLoS One       Date:  2018-12-17       Impact factor: 3.240

2.  Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes.

Authors:  Qianqian Ren; Xiyu Liu; Minghe Sun
Journal:  Comput Intell Neurosci       Date:  2020-09-17
  2 in total

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