Firing multistability in a locally active memristive neuron model

Hairong Lin, Chunhua Wang, Yichuang Sun, Wei Yao

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)
10 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)3667-3683
Number of pages17
JournalNonlinear Dynamics
Volume100
Issue number4
Early online date19 May 2020
DOIs
Publication statusPublished - 1 Jun 2020

Keywords

  • Firing
  • Locally active memristor
  • Multistability
  • Neuron model
  • Neuronal circuit

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