Journal of Guangxi Normal University(Natural Science Edition) ›› 2020, Vol. 38 ›› Issue (3): 19-24.doi: 10.16088/j.issn.1001-6600.2020.03.003

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Research on Firing Behavior of Magnetic Field Coupled Memristive Neural Network

LI Yadai, WEI Duqu*   

  1. College of Electronic Engineering, Guangxi Normal University, Guilin Guangxi 541004, China
  • Received:2019-11-26 Online:2020-05-25 Published:2020-06-11

Abstract: In this paper, the influence of the connection topology and coupling strength of complex neural networks on their firing behavior is studied. Firstly, a Newman-Watts small world neural network is established by using magnetic field-coupled memristive Hodgkin-Huxley (HH) neurons as nodes and taking the connections between neurons as edges. Then the firing modes of neural network are studied by changing the connection topology probability and coupling strength. It is found that for a given coupling strength, when the connection topology probability is close to zero, the neural network has no firing behavior; while the connection topology probability is larger than the threshold, the neurons in the network will have a discharge phenomenon. As the connection topology probability p further increases, the firing intensity becomes larger. The results show that the connection topology probability p can induce and enhance the electrical activity of the neural network. It is expected that this reseach can provide useful insights into understanding the collective dynamics of real coupled neurons.

Key words: Hodgkin-Huxley neural network, memristor, firing behavior, Newman-Watts small world

CLC Number: 

  • O317
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