Review on chaotic dynamics of memristive neuron and neural network
The study of dynamics on artificial neurons and neuronal networks is of great significance to
understand brain functions and develop neuromorphic systems. Recently, memristive …
understand brain functions and develop neuromorphic systems. Recently, memristive …
[HTML][HTML] A review of chaotic systems based on memristive Hopfield neural networks
Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction
Memristive electromagnetic induction effect has been widely explored in bi-neuron network
with homogeneous neurons, but rarely in bi-neuron network with heterogeneous ones. This …
with homogeneous neurons, but rarely in bi-neuron network with heterogeneous ones. This …
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 …
Hidden bursting firings and bifurcation mechanisms in memristive neuron model with threshold electromagnetic induction
Memristors can be employed to mimic biological neural synapses or to describe
electromagnetic induction effects. To exhibit the threshold effect of electromagnetic …
electromagnetic induction effects. To exhibit the threshold effect of electromagnetic …
A review for dynamics in neuron and neuronal network
J Ma, J Tang - Nonlinear Dynamics, 2017 - Springer
Abstract The biological Hodgkin–Huxley model and its simplified versions have confirmed its
effectiveness for recognizing and understanding the electrical activities in neurons, and …
effectiveness for recognizing and understanding the electrical activities in neurons, and …
Firing multistability in a locally active memristive neuron model
The theoretical, numerical and experimental demonstrations of firing dynamics in isolated
neuron are of great significance for the understanding of neural function in human brain. In …
neuron are of great significance for the understanding of neural function in human brain. In …
Hidden extreme multistability with hyperchaos and transient chaos in a Hopfield neural network affected by electromagnetic radiation
Biological nervous system function is closely related to its dynamical behaviors, and some
dynamical phenomena observed in biological systems can be detected in the simplified …
dynamical phenomena observed in biological systems can be detected in the simplified …
A novel no-equilibrium HR neuron model with hidden homogeneous extreme multistability
In this paper, a novel no-equilibrium Hindmarsh-Rose (HR) neuron model with memristive
electromagnetic induction is proposed. This memristive HR neuron model exhibits complex …
electromagnetic induction is proposed. This memristive HR neuron model exhibits complex …
Regulating memristive neuronal dynamical properties via excitatory or inhibitory magnetic field coupling
The ion exchange in neurons can trigger time-varying magnetic fields. According to the
superposition field principle, each neuron is exposed to the integrated magnetic field …
superposition field principle, each neuron is exposed to the integrated magnetic field …