A Novel Coupled Memristive Izhikevich Neuron Model and Its Complex Dynamics

Fengling Jia, Peiyan He and Lixin Yang ()
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Fengling Jia: School of Mathematics, Chengdu Normal University, Chengdu 611130, China
Peiyan He: College of Mathematics and Data Science, Shaanxi University of Science and Technology, Xi’an 710021, China
Lixin Yang: College of Mathematics and Data Science, Shaanxi University of Science and Technology, Xi’an 710021, China

Mathematics, 2024, vol. 12, issue 14, 1-17

Abstract: This paper proposes a novel, five-dimensional memristor synapse-coupled Izhikevich neuron model under electromagnetic induction. Firstly, we analyze the global exponential stability of the presented system by constructing an appropriate Lyapunov function. Furthermore, the Hamilton energy functions of the model and its corresponding error system are derived by using Helmholtz’s theorem. In addition, the influence of external current and system parameters on the dynamical behavior are investigated. The numerical simulation results indicate that the discharge pattern of excitatory and inhibitory neurons changes significantly when the amplitude and frequency of the external stimulus current are applied at different degrees. And the crucial dynamical behavior of the neuronal system is determined by the intensity of modulation of the induced current and the gain in the electromagnetic induction. Moreover, the amount of Hamilton energy released by the model could be evaluated during the conversion between the distinct dynamical behaviors.

Keywords: five-dimensional neuron model; Hamilton energy; dynamical behaviors (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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