Memristor initial-offset boosting in memristive HR neuron model with hidden firing patterns
A new three-dimensional (3D) memristive HR neuron model is presented, which is improved
from an existing memristive HR neuron model using a memristor synapse with sine …
from an existing memristive HR neuron model using a memristor synapse with sine …
Synchronization coexistence in a Rulkov neural network based on locally active discrete memristor
At present, many neuron models have been proposed, which can be divided into discrete
neuron models and continuous neuron models. Discrete neuron models have the …
neuron models and continuous neuron models. Discrete neuron models have the …
Polarized electric field-induced drift of spiral waves in discontinuous cardiac media
Y Hu, Q Ding, Y Wu, Y Jia - Chaos, Solitons & Fractals, 2023 - Elsevier
The clinical application of high-voltage defibrillation to eliminate spiral waves in the cardiac
possesses profound adverse effects. There is a demand for alternative approaches with …
possesses profound adverse effects. There is a demand for alternative approaches with …
Memristive electromagnetic induction effects on Hopfield neural network
Due to the existence of membrane potential differences, the electromagnetic induction flows
can be induced in the interconnected neurons of Hopfield neural network (HNN). To express …
can be induced in the interconnected neurons of Hopfield neural network (HNN). To express …
Memristor synapse-coupled memristive neuron network: synchronization transition and occurrence of chimera
Memristor synapse can be used to characterize the electromagnetic induction effect
between two neurons that induces an action current by their membrane potential difference …
between two neurons that induces an action current by their membrane potential difference …
A feasible neuron for estimating the magnetic field effect
Y Zhang, Y Xu, Z Yao, J Ma - Nonlinear Dynamics, 2020 - Springer
Biological neurons are capable of encoding a variety of stimuli, and the synaptic plasticity
can be enhanced for activating appropriate firing modes in the neural activities. Artificial …
can be enhanced for activating appropriate firing modes in the neural activities. Artificial …
Memristor initial-boosted coexisting plane bifurcations and its extreme multi-stability reconstitution in two-memristor-based dynamical system
Initial-dependent extreme multi-stability and offset-boosted coexisting attractors have been
significantly concerned recently. This paper constructs a novel five-dimensional (5-D) two …
significantly concerned recently. This paper constructs a novel five-dimensional (5-D) two …
Initial-induced coexisting and synchronous firing activities in memristor synapse-coupled Morris–Lecar bi-neuron network
A memristor synapse with threshold memductance is employed to couple two neurons for
representation of the electromagnetic induction effect triggered by their membrane potential …
representation of the electromagnetic induction effect triggered by their membrane potential …
Memristive neuron model with an adapting synapse and its hardware experiments
Electromagnetic induction effect caused by neuron potential can be mimicked using
memristor. This paper considers a flux-controlled memristor to imitate the electromagnetic …
memristor. This paper considers a flux-controlled memristor to imitate the electromagnetic …
Regime transition and multi-scroll hyperchaos in a discrete neuron model
Most discrete neuron models have simple algebraic structures with easy digital
implementation. However, they cannot show the abundant firing regimes of neurons. To …
implementation. However, they cannot show the abundant firing regimes of neurons. To …