Spiking neural P systems with multiple channels.

Journal: Neural networks : the official journal of the International Neural Network Society
Published Date: Aug 24, 2017

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.

Authors

  • Hong Peng
    1 Center for Radio Administration and Technology Development, School of Computer and Software Engineering, Xihua University, Chengdu 610039, P. R. China.
  • Jinyu Yang
    School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.
  • Jun Wang
    Department of Speech, Language, and Hearing Sciences and the Department of Neurology, The University of Texas at Austin, Austin, TX 78712, USA.
  • Tao Wang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhang Sun
    School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China.
  • Xiaoxiao Song
    School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China.
  • Xiaohui Luo
    School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.
  • Xiangnian Huang
    School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.

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