Chaotic Bursting Dynamics and Coexisting Multistable Firing Patterns in 3D Autonomous Morris–Lecar Model and Microcontroller-Based Validations

Author:

Bao Bocheng1,Yang Qinfeng1,Zhu Lei2,Bao Han3,Xu Quan1,Yu Yajuan1,Chen Mo1ORCID

Affiliation:

1. School of Information Science and Engineering, Changzhou University, Changzhou 213164, P. R. China

2. School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, P. R. China

3. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, P. R. China

Abstract

A three-dimensional (3D) autonomous Morris–Lecar (simplified as M–L) neuron model with fast and slow structures was proposed to generate periodic bursting behaviors. However, chaotic bursting dynamics and coexisting multistable firing patterns have been rarely discussed in such a 3D M–L neuron model. For some specified model parameters, MATLAB numerical plots are executed by bifurcation plots, time sequences, phase plane plots, and 0–1 tests, from which diverse forms of chaotic bursting, chaotic tonic-spiking, and periodic bursting behaviors are uncovered in the 3D M–L neuron model. Furthermore, based on the theoretically constructing fold/Hopf bifurcation sets of the fast subsystem, the bifurcation mechanism for the chaotic bursting behaviors is thereby expounded qualitatively. Particularly, through numerically plotting the attraction basins related to the initial states under two sets of specific parameters, coexisting multistable firing patterns are demonstrated in the 3D M–L neuron model also. Finally, a digitally circuit-implemented electronic neuron is generated based on a low-power microcontroller and its experimentally captured results faultlessly validate the numerical plots.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modelling and Simulation,Engineering (miscellaneous)

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