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Mode transition and energy dependence of FitzHugh-Nagumo neural model driven by high-low frequency electromagnetic radiation

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成果类型:
期刊论文
作者:
Wang, Guowei;Xu, Ying;Ge, Mengyan;Lu, Lulu;Jia, Ya*贾亚
通讯作者:
Jia, Ya(贾亚
作者机构:
[Jia, Ya] Cent China Normal Univ, Dept Phys, Wuhan 430079, Peoples R China.
Cent China Normal Univ, Inst Biophys, Wuhan 430079, Peoples R China.
通讯机构:
[Jia, Ya] C
Cent China Normal Univ, Dept Phys, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Bifurcation and chaos analysis;Electromagnetic induction;FitzHugh-Nagumo model;Hamilton energy
期刊:
AEU - International Journal of Electronics and Communications
ISSN:
1434-8411
年:
2020
卷:
120
页码:
153209
基金类别:
This project is supported by National Natural Science Foundation of China under Grants No. 11775091 .
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
摘要:
The FitzHugh-Nagumo (FHN) neural model is widely used to study the dynamic characteristics of signal propagation, synchronization, stochastic resonance(SR), coherent resonance(CR), and bifurcation of neurons. Based on Helmholtz theorem and the FHN neuron model, the expression of Hamilton energy function of FHN neural model driven by high-low frequency(HLF) electromagnetic radiation is derived. The correctness and uniqueness of the analytical solution are verified by using the constraints, and the electrical activities and Hamilton energy functi...

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