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Excitability and synchronization of vanadium dioxide memristor-inspired neurons

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  • Shao, Yan
  • Wu, Fuqiang
  • Wang, Qingyun

Abstract

Neuromorphic devices play a significant role in exploiting the dynamical analogy between various physical circuits and neuronal systems. Mott memristive systems made from vanadium dioxide (VO2) are candidates for neuromorphic computations because of their ability to better reproduce neuron-like functions/behaviors and operate at low transition energy. In this paper, we revisit a prior work on the VO2 memristor-inspired neuron to not only identify the exact biophysical mechanisms of this system’s features, but also reproduce the more extensive neuron-like dynamical behaviors as two types of excitability and spiking by combining one-parameter bifurcations with two-parameter panels. Based on the Lyapunov stability theorem, a novel criterion for exponential synchronization is acquired in coupled VO2 memristor-inspired neurons by introducing two controllers. Meanwhile, it is demonstrated via numerical simulations and hardware circuits. Results provide the intersection of electronic physics and theoretical neuroscience from the nonlinear dynamics point of view.

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  • Shao, Yan & Wu, Fuqiang & Wang, Qingyun, 2025. "Excitability and synchronization of vanadium dioxide memristor-inspired neurons," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 233(C), pages 99-116.
    • Handle: RePEc:eee:matcom:v:233:y:2025:i:c:p:99-116
    DOI: 10.1016/j.matcom.2025.01.022
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    References listed on IDEAS

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