Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2025, Vol. 42 ›› Issue (1): 177-187.

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Bifurcation Analysis of a Subthalamic Nucleusg-globus Pallidus Network Model with Electromagnetic Induction

YI Dan,  ZHENG Yanhong,  CHEN Guotai,  ZENG Qiaoyun   

  1. School of Mathematics and Statistics, Fujian Normal University, Fuzhou 350117
  • Received:2022-08-07 Accepted:2023-03-20 Online:2025-02-15 Published:2025-04-15
  • Contact: Y. Zheng. E-mail address: yaya-zyh@163.com
  • Supported by:
    The National Natural Science Foundation of China (11672074); the Natural Science Foundation of Fujian Province (2022J01657; 2022J01192).

Abstract:

Parkinson's disease is a movement disorder of the nervous system caused by the abnormal oscillations in cortical-basal ganglia circuits, and electromagnetic induction plays an important role in neuronal activities. In this paper, a subthalamic nucleus-globus pallidus network model with electromagnetic induction is proposed to analyze the dynamic mechanism of the Hopf bifurcation with the help of the magnetic flux variable. By analyzing the characteristic equations and the stability of the model, the conditions for the occurrence of Hopf bifurcation with time delay are obtained, and numerical simulation verifies the results of theoretical analysis. It is revealed that increasing synaptic transmission delay can induced oscillations. In addition, two-parameter bifurcation analysis shows that the increase of average magnetic flux $k$ has a certain elimination the system oscillation caused by synaptic transmission delay $T$ and synaptic connection weight $W_{CS}$. It is hoped that the results might have some help in understanding the role of electromagnetic induction in Parkinson's disease.

Key words: neural network model, Parkinson's disease, electromagnetic induction, time delay, Hopf bifurcation

CLC Number: