Memristive model of the Fitzhugh-Nagumo neuronal oscillator

Ivan Kipelkin; Svetlana A. Gerasimova; Д. В. Гусейнов; Dmitry Pavlov; V. A. Vorontsov; Alexey Mikhaylov; Victor Kazantsev

doi:10.1109/dcna56428.2022.9923075

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Memristive model of the Fitzhugh-Nagumo neuronal oscillator

Ivan Kipelkin Svetlana A. Gerasimova Д. В. Гусейнов Dmitry Pavlov V. A. Vorontsov Alexey Mikhaylov Victor Kazantsev

Year: 2022 Pages: 132-135

DOI: 10.1109/dcna56428.2022.9923075

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Abstract

We propose a mathematical model of the Fitzhugh-Nagumo neuron employing memristor-based nonlinearity. The model implements excitable and oscillatory regimes of neuron-like firing. We obtain and analyze various dynamical modes of the memristor-based FitzHugh-Nagumo neuron.

Keywords:

Memristor Biological neuron model Nonlinear system Computer science Neuron Nonlinear dynamical systems Physics Statistical physics Control theory (sociology) Topology (electrical circuits) Artificial neural network Artificial intelligence Mathematics Neuroscience Quantum mechanics Biology

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stochastic dynamics and bifurcation

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Memristive model of the Fitzhugh-Nagumo neuronal oscillator

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