Biophysical neurons, energy, and synapse controllability: a review
J Ma - Journal of Zhejiang University-Science A, 2023 - Springer
Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that
regulates membrane potential, and energy injection from external stimuli breaks the energy …
regulates membrane potential, and energy injection from external stimuli breaks the energy …
Hidden coexisting hyperchaos of new memristive neuron model and its application in image encryption
Q Lai, C Lai, H Zhang, C Li - Chaos, Solitons & Fractals, 2022 - Elsevier
The neuron models have been widely applied to neuromorphic computing systems and
chaotic circuits. However, discrete neuron models and their application in image encryption …
chaotic circuits. However, discrete neuron models and their application in image encryption …
Design and performance analysis of discrete memristive hyperchaotic systems with stuffed cube attractors and ultraboosting behaviors
Q Lai, L Yang, G Chen - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Memristors are widely used for studying chaotic oscillations due to their special nonlinearity
and plasticity. This article presents a framework for constructing the ultraboosting memristive …
and plasticity. This article presents a framework for constructing the ultraboosting memristive …
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 …
Synchronization transitions in a discrete memristor-coupled bi-neuron model
When synaptic connection is created to couple two neurons, the electromagnetic induction
current is unavoidably induced, which can be imitated by a flux-controlled memristor. To …
current is unavoidably induced, which can be imitated by a flux-controlled memristor. To …
Parallel bi-memristor hyperchaotic map with extreme multistability
Discrete memristors can be used to construct chaotic and hyperchaotic mapping models by
self-feedback or coupling method, but these constructed maps do not have multistability or …
self-feedback or coupling method, but these constructed maps do not have multistability or …
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 …
Chaos in a simplest cyclic memristive neural network
Previous studies have shown that cyclic neural networks which have no autoexcitation and
are unidirectional cannot generate chaos. Inspired by this finding, the present paper …
are unidirectional cannot generate chaos. Inspired by this finding, the present paper …
A discrete memristive neural network and its application for character recognition
S He, J Liu, H Wang, K Sun - Neurocomputing, 2023 - Elsevier
Abstract Design of artificial neural networks based on memristor has attracted increasing
attentions from researchers. However, there are no reports on the discrete memristor based …
attentions from researchers. However, there are no reports on the discrete memristor based …
Sine-transform-based memristive hyperchaotic model with hardware implementation
Memristor is a special nonlinear circuit component with internal state and can lead to
excellent chaos complexity in its constructed discrete system. To enhance the chaos …
excellent chaos complexity in its constructed discrete system. To enhance the chaos …