Memristive Autapse-Coupled Neuron Model With External Electromagnetic Radiation Effects

Sen Zhang, Chunbiao Li, Jiahao Zheng, Xiaoping Wang*, Zhigang Zeng, Guanrong Chen

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

83 Citations (Scopus)

Abstract

Thanks to their distinct synaptic plasticity and memory effects, memristors not only can mimic biological neuronal synapses but also can describe the influence of external electromagnetic radiation. This article proposes a novel memristive autapse-coupled neuron model (MACNM) using a locally active memristor as an autapse and simultaneously introducing a flux-controlled piecewise-nonlinear memristor to describe the external electromagnetic radiation. Theoretical analysis and numerical simulation results show that the MACNM is able to generate multiple numbers of grid multiscroll hidden attractors. Moreover, it can exhibit rich and complex hidden firing dynamics, including periodic spiking/bursting firing, chaotic spiking/bursting firing, as well as firing patterns transition. In particular, hidden firing multistability of five coexisting homogeneous chaotic bursting firing patterns with different offsets along the boosting route is discovered, giving raise to the interesting phenomenon of hidden homogeneous multistability. Finally, a circuit is designed to verify the physical feasibility of the abundant electrical activities in the proposed MACNM.
Original languageEnglish
Pages (from-to)11618-11627
JournalIEEE Transactions on Industrial Electronics
Volume70
Issue number11
Online published6 Dec 2022
DOIs
Publication statusPublished - Nov 2023

Research Keywords

  • autapse
  • Biological system modeling
  • Brain modeling
  • multiscroll hidden attractor
  • electromagnetic radiation
  • firing multistability
  • Hysteresis
  • Integrated circuit modeling
  • Memristor
  • Memristors
  • multi-scroll hidden attractor
  • neuron model
  • Neurons

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