The dynamics of a memristor-based Rulkov neuron with fractional-order difference

doi:10.1088/1674-1056/ac539a

Abstract The exploration of the memristor model in the discrete domain is a fascinating hotspot. The electromagnetic induction on neurons has also begun to be simulated by some discrete memristors. However, most of the current investigations are based on the integer-order discrete memristor, and there are relatively few studies on the form of fractional order. In this paper, a new fractional-order discrete memristor model with prominent nonlinearity is constructed based on the Caputo fractional-order difference operator. Furthermore, the dynamical behaviors of the Rulkov neuron under electromagnetic radiation are simulated by introducing the proposed discrete memristor. The integer-order and fractional-order peculiarities of the system are analyzed through the bifurcation graph, the Lyapunov exponential spectrum, and the iterative graph. The results demonstrate that the fractional-order system has more abundant dynamics than the integer one, such as hyper-chaos, multi-stable and transient chaos. In addition, the complexity of the system in the fractional form is evaluated by the means of the spectral entropy complexity algorithm and consequences show that it is affected by the order of the fractional system. The feature of fractional difference lays the foundation for further research and application of the discrete memristor and the neuron map in the future.

Keywords: discrete memristor Rulkov neuron fractional-order difference dynamics

Received: 07 December 2021
Revised: 21 January 2022
Accepted manuscript online: 10 February 2022

PACS:	05.45.Ac	(Low-dimensional chaos)
	05.45.-a	(Nonlinear dynamics and chaos)
	87.19.ll	(Models of single neurons and networks)
	05.45.Pq	(Numerical simulations of chaotic systems)

Fund: Project supported by the Major Research Plan of the National Natural Science Foundation of China (Grant No. 91964108), the National Natural Science Foundation of China (Grant No. 61971185), and the Natural Science Foundation of Hunan Province, China (Grant No. 2020JJ4218).

Corresponding Authors: Chun-Hua Wang
E-mail: wch1227164@hnu.edu.cn

Cite this article:

Yan-Mei Lu(卢艳梅), Chun-Hua Wang(王春华), Quan-Li Deng(邓全利), and Cong Xu(徐聪) The dynamics of a memristor-based Rulkov neuron with fractional-order difference 2022 Chin. Phys. B 31 060502

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The dynamics of a memristor-based Rulkov neuron with fractional-order difference

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