Memristor initial-offset boosting and its bifurcation mechanism in a memristive FitzHugh-Nagumo neuron model with hidden dynamics
Electromagnetic induction plays a vital role in impacting the neuron dynamics, since the
electromagnetic induction is triggered alongside with the complex interaction of membrane …
electromagnetic induction is triggered alongside with the complex interaction of membrane …
Initial-offset-boosted coexisting hyperchaos in a 2D memristive Chialvo neuron map and its application in image encryption
Designing a low-dimensional discrete map to generate chaotic sequence with the properties
of high randomness and without chaos degradation is an attractive but challenging issue …
of high randomness and without chaos degradation is an attractive but challenging issue …
A discrete Chialvo–Rulkov neuron network coupled with a novel memristor model: Design, Dynamical analysis, DSP implementation and its application
H Cao, Y Wang, S Banerjee, Y Cao, J Mou - Chaos, Solitons & Fractals, 2024 - Elsevier
In this paper, a novel discrete flux-controlled memristor model combining square and cosine
function is proposed and its properties are analyzed. Then, the discrete memristor is used to …
function is proposed and its properties are analyzed. Then, the discrete memristor is used to …
Review on memristor application in neural circuit and network
F Yang, J Ma, F Wu - Chaos, Solitons & Fractals, 2024 - Elsevier
Memristor is a nonlinear electronic component with memory properties, it is widely used in a
variety of nonlinear circuits for extensive adaptive control and model description of neural …
variety of nonlinear circuits for extensive adaptive control and model description of neural …
Periodic and chaotic spiking behaviors in a simplified memristive Hodgkin-Huxley circuit
Abstract The famous Hodgkin-Huxley circuit contains two time-varying resistors to describe
the electrophysiological characteristics of sodium and potassium ion channels. But the time …
the electrophysiological characteristics of sodium and potassium ion channels. But the time …
Physical approach of a neuron model with memristive membranes
The membrane potential of a neuron is mainly controlled by the gradient distribution of
electromagnetic field and concentration diversity between intracellular and extracellular …
electromagnetic field and concentration diversity between intracellular and extracellular …
Modeling and hardware implementation of a class of Hamiltonian conservative chaotic systems with transient quasi-period and multistability
F Yu, Y Yuan, C Wu, W Yao, C Xu, S Cai, C Wang - Nonlinear Dynamics, 2024 - Springer
Compared with dissipative chaotic systems, conservative chaotic systems are more suitable
for secure communication based on chaos. In this paper, an effective method for …
for secure communication based on chaos. In this paper, an effective method for …
Generating multi-folded hidden Chua's attractors: Two-case study
In recent decades, Chua's attractor has been taken as the classical paradigm for chaos
demonstration, but it still presents some new results one after another. Hidden Chua's …
demonstration, but it still presents some new results one after another. Hidden Chua's …
Dynamical effects of memristive electromagnetic induction on a 2D Wilson neuron model
Electromagnetic induction plays a crucial impact on the firing activity of biological neurons,
since it exists along with the mutual effect between membrane potential and ions transport …
since it exists along with the mutual effect between membrane potential and ions transport …
Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor
C Wang, J Liang, Q Deng - Neural Networks, 2024 - Elsevier
Memristor and activation function are two important nonlinear factors of the memristive
Hopfield neural network. The effects of different memristors on the dynamics of Hopfield …
Hopfield neural network. The effects of different memristors on the dynamics of Hopfield …