 Excitability and synchronization of vanadium dioxide memristor-inspired neuronsYan Shao, Fuqiang Wu and Qingyun Wang Mathematics and Computers in Simulation (MATCOM), 2025, vol. 233, issue C, 99-116 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. Keywords: Bifurcation; Lyapunov stability; Neural model; Synchronization; Memristor (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:233:y:2025:i:c:p:99-116 DOI: 10.1016/j.matcom.2025.01.022 Access Statistics for this article Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier |
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