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 …
Chimeras
Chimeras are this year coming of age since they were first observed by Kuramoto and
Battogtokh in 2002 in a one-dimensional network of complex Ginzburg–Landau equations …
Battogtokh in 2002 in a one-dimensional network of complex Ginzburg–Landau equations …
Memristor synapse-coupled piecewise-linear simplified Hopfield neural network: Dynamics analysis and circuit implementation
Electromagnetic induction current is generated between the adjacent neurons in neural
network caused by the existence of membrane potential difference. Memristor is the fourth …
network caused by the existence of membrane potential difference. Memristor is the fourth …
Memristive Rulkov neuron model with magnetic induction effects
The magnetic induction effects have been emulated by various continuous memristive
models but they have not been successfully described by a discrete memristive model yet …
models but they have not been successfully described by a discrete memristive model yet …
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 …
A fractional-order chaotic system with hidden attractor and self-excited attractor and its DSP implementation
T Liu, H Yan, S Banerjee, J Mou - Chaos, Solitons & Fractals, 2021 - Elsevier
The definition of fractional calculus is introduced into a 3D multi-attribute chaotic system in
this paper. The fractional multi-attribute chaotic system (FMACS) numerical solution is …
this paper. The fractional multi-attribute chaotic system (FMACS) numerical solution is …
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 …
Multistability and phase synchronization of Rulkov neurons coupled with a locally active discrete memristor
In order to enrich the dynamic behaviors of discrete neuron models and more effectively
mimic biological neural networks, this paper proposes a bistable locally active discrete …
mimic biological neural networks, this paper proposes a bistable locally active discrete …
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 …
Creation of heterogeneity or defects in a memristive neural network under energy flow
The field energy in neuron can be changed under shape deformation because of external
energy injection into the media. The electromagnetic field superposition enables energy …
energy injection into the media. The electromagnetic field superposition enables energy …