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Published June 2020 | Version v1
Journal article

Firing multistability in a locally active memristive neuron model

  • 1. Hunan University. College of Computer Science and Electronic Engineering (China)
  • 2. University of Hertfordshire. School of Engineering and Computer Science (United Kingdom)

Description

The theoretical, numerical and experimental demonstrations of firing dynamics in isolated neuron are of great significance for the understanding of neural function in human brain. In this paper, a new type of locally active and non-volatile memristor with three stable pinched hysteresis loops is presented. Then, a novel locally active memristive neuron model is established by using the locally active memristor as a connecting autapse, and both firing patterns and multistability in this neuronal system are investigated. We have confirmed that, on the one hand, the constructed neuron can generate multiple firing patterns like periodic bursting, periodic spiking, chaotic bursting, chaotic spiking, stochastic bursting, transient chaotic bursting and transient stochastic bursting. On the other hand, the phenomenon of firing multistability with coexisting four kinds of firing patterns can be observed via changing its initial states. It is worth noting that the proposed neuron exhibits such firing multistability previously unobserved in single neuron model. Finally, an electric neuron is designed and implemented, which is extremely useful for the practical scientific and engineering applications. The results captured from neuron hardware experiments match well with the theoretical and numerical simulation results.

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Identifiers

Publishing Information

Journal Title
Nonlinear Dynamics
Journal Volume
100
Journal Issue
4
Journal Page Range
p. 3667-3683
ISSN
0924-090X

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Copyright
Copyright (c) 2020 © Springer Nature B.V. 2020