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 …
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 …
Coexisting multiple firing patterns in two adjacent neurons coupled by memristive electromagnetic induction
H Bao, W Liu, A Hu - Nonlinear Dynamics, 2019 - Springer
The membrane potential difference between two adjacent neurons can induce an
electromagnetic induction current that behaves like a memristor synapse effect using to …
electromagnetic induction current that behaves like a memristor synapse effect using to …
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 …
Memristor-induced mode transitions and extreme multistability in a map-based neuron model
Because of the advent of discrete memristor, memristor effect in discrete map has become
the important subject deserving discussion. To this end, this paper constructs a memristor …
the important subject deserving discussion. To this end, this paper constructs a memristor …
Memristive effects on an improved discrete Rulkov neuron model
A change in neuronal-action potential can generate a magnetically induced current during
the release and propagation of intracellular ions. To better characterize the electromagnetic …
the release and propagation of intracellular ions. To better characterize the electromagnetic …
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 …
Modeling of memristor-based Hindmarsh-Rose neuron and its dynamical analyses using energy method
L Xu, G Qi, J Ma - Applied Mathematical Modelling, 2022 - Elsevier
It has been extensively studied to employ memristors to model the relationship between the
electromagnetic field and the membrane potential, especially for the research of modeling …
electromagnetic field and the membrane potential, especially for the research of modeling …
Coexisting firing patterns and phase synchronization in locally active memristor coupled neurons with HR and FN models
Z Li, H Zhou, M Wang, M Ma - Nonlinear Dynamics, 2021 - Springer
Local activity is regarded as the origin of complexity. In this study, a locally active memristor
with coexisting two stable pinched hysteresis loops and two local activity regions is …
with coexisting two stable pinched hysteresis loops and two local activity regions is …
A memristive neuron and its adaptability to external electric field
Connecting memristors into any neural circuit can enhance its potential controllability under
external physical stimuli. Memristive current along a magnetic flux-controlled memristor can …
external physical stimuli. Memristive current along a magnetic flux-controlled memristor can …