The results demonstrate that the improved memristive HR neuron model can exhibit a discrete memristor initial-offset boosting behavior owning infinitely many disconnected basins of attraction and the generating firing patterns can be boosted to different discrete levels by changing the memristor initial value, ...
Aug 27, 2020
The improved memristive HR neuron model has no equilibrium but hidden firing activities can emerge with discrete memristor initial-offset boosting. Treating the ...
The improved memristive HR neuron model has no equilibrium but hidden firing activities can emerge with discrete memristor initial-offset boosting. Treating the ...
In the literature, the memristive Hindmarsh–Rose (mHR) neuron models with ideal memristors can easily generate multistability with coexisting firing patterns.
This paper presents a flux-controlled memristor with sinusoidal mem-conductance function and hyperbolic tangent function modulated input.
The mHR neuron model can generate abundant hidden dynamics, ie, periodic spiking, chaotic spiking, period-doubling bifurcation route, tangent bifurcation, and ...
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Memristor initial-offset boosting and its bifurcation mechanism in a memristive FitzHugh-Nagumo neuron model with hidden dynamics. Author & abstract; Download ...
Initial offset boosting behavior with w0. - ResearchGate
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Since memristors can be used to describe electromagnetic induction effects, this paper proposes a novel 4-D Hindmarsh-Rose (HR) neuron model based on two ...
Memristor initial-offset boosting and its bifurcation mechanism in a memristive FitzHugh-Nagumo neuron model with hidden dynamics.
This memristive HR neuron model can exhibit complicated memristor initial offset boosting dynamics. •. The interesting phenomenon of hidden homogeneous extreme ...