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Bursting dynamics and synchronization of neuromorphic systems with VO2 memristors and Josephson junctions

  • Yan Shao
  • , Fuqiang Wu
  • , Qingyun Wang*
  • *Corresponding author for this work
  • Ningxia University

Research output: Contribution to journalArticlepeer-review

Abstract

Neuromorphic circuits, inspired by biological neurons and synapses, can mimic complex firing modes and collective behaviors. Here, we construct a new neuron-inspired circuit connected by a vanadium dioxide (VO2) memristor, a capacitor, and a Josephson junction in parallel. It is then shown that the equivalent circuit model can replicate neuron-like bursting behaviors. The generation mechanism behind bursting modes is uncovered using the fast-slow decomposition approach. Furthermore, we investigate the phase synchronization of two neuron-like models coupled via electrical synapses. This synchronization is demonstrated through both numerical simulations and theoretical analysis. Finally, the stability of a cellular neural network composed of neuron-like circuits is verified by Lyapunov stability theory. Interestingly, it is observed that the cellular neural network can exhibit abundant collective behaviors.

Original languageEnglish
Pages (from-to)33907-33926
Number of pages20
JournalNonlinear Dynamics
Volume113
Issue number24
DOIs
StatePublished - Dec 2025

Keywords

  • Bursting
  • Memristor
  • Neural modelling
  • Nonlinear dynamics
  • Synchronization

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