Mathematical and Experimental Model of Neuronal Oscillator Based on Memristor-Based Nonlinearity

This article presents a mathematical and experimental model of a neuronal oscillator with memristor-based nonlinearity. The mathematical model describes the dynamics of an electronic circuit implementing the FitzHugh–Nagumo neuron model. A nonlinear component of this circuit is the Au/Zr/ZrO<sub>2</...

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Autors principals:	Ivan Kipelkin, Svetlana Gerasimova, Davud Guseinov, Dmitry Pavlov, Vladislav Vorontsov, Alexey Mikhaylov, Victor Kazantsev
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-03-01
Col·lecció:	Mathematics
Matèries:	supercritical Andronov–Hopf bifurcation memristor-based nonlinearity neuron-like oscillator self-oscillation
Accés en línia:	https://www.mdpi.com/2227-7390/11/5/1268
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