期刊
CHINESE JOURNAL OF PHYSICS
卷 77, 期 -, 页码 1365-1380出版社
ELSEVIER
DOI: 10.1016/j.cjph.2021.08.019
关键词
Neuron; FitzHugh-Nagumo model; Synaptic coupling; Synchronization; Neural oscillations
资金
- Ministry of Science and Technology of Taiwan [107-2112-M-008-013-MY3]
- NCTS of Taiwan
An extended FitzHugh-Nagumo model is used to simulate the synaptic coupling of neurons and their associated dynamics. Nonlinear dynamics analysis is performed for simple neural motifs to reveal instabilities leading to neural oscillations, and the corresponding phase diagrams are obtained. Various interesting dynamics are observed in this study.
An extended FitzHugh-Nagumo model is developed to model the synaptic coupling of neurons and the associated dynamics. The neurons are coupled via chemical synapses, which can excite or inhibit the postsynaptic neuron. The neurotransmitter-receptor dynamics is governed with a gating dynamic, which allows for the distinction between fast and slow synapses. Detailed nonlinear dynamics analysis are performed for simple neural motifs of a self-synapsed neuron and two synaptically coupled neurons for the instabilities that lead to neural oscillations, and the associated phase diagrams are obtained. Interesting dynamics such as synchronization of fast and slow firing neurons, frequency enhancement, quiescent neurons coupled to oscillators, chaotic spiking, and periodic bursting are found.
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