Dynamical analysis of a tabu learning neuron through the discrete implicit mapping method
The complex dynamics of neuron model including bifurcation behaviors and firing patterns,
especially unstable firing patterns, furnish a favorable point of view for the research of …
especially unstable firing patterns, furnish a favorable point of view for the research of …
Analysis of the dynamical behavior of discrete memristor-coupled scale-free neural networks
W Deng, M Ma - Chinese Journal of Physics, 2024 - Elsevier
The synchronization of neural networks is crucial for neural information processing and
represents a key feature of various functional brain diseases. Memristors are ideal electronic …
represents a key feature of various functional brain diseases. Memristors are ideal electronic …
Excitability and memory in a time-delayed optoelectronic neuron
We study the dynamics of an optoelectronic circuit composed of an excitable nanoscale
resonant-tunneling diode (RTD) driving a nanolaser diode (LD) coupled via time-delayed …
resonant-tunneling diode (RTD) driving a nanolaser diode (LD) coupled via time-delayed …
Dynamical rewiring promotes synchronization in memristive FitzHugh-Nagumo neuronal networks
X Hu, Q Ding, Y Wu, W Huang, L Yang, Y Jia - Chaos, Solitons & Fractals, 2024 - Elsevier
Dynamical rewiring widely exists in complex systems, however the impact of dynamical
rewiring in the synchronization of neural systems is currently unknown. In this paper, we use …
rewiring in the synchronization of neural systems is currently unknown. In this paper, we use …
The influence of hyperpolarization-activated cation current on conduction delay and failure of action potentials along axon related to abnormal functions
M Lu, H Gu, X Zhang - Cognitive Neurodynamics, 2024 - Springer
Conduction delay and failure behaviors of action potentials with a high frequency along
nerve fiber are related to the abnormal functions. For instance, upregulation of a …
nerve fiber are related to the abnormal functions. For instance, upregulation of a …
Introduction to focus issue: Control of self-organizing nonlinear systems
Nonlinear dynamical systems far from thermodynamic equilibrium often exhibit self-
organization, ie, the spontaneous emergence of temporal, spatial, or spatiotemporal …
organization, ie, the spontaneous emergence of temporal, spatial, or spatiotemporal …
[HTML][HTML] Deep learning for prediction and classifying the dynamical behaviour of piecewise-smooth maps
VS Vismaya, BV Nair, SS Muni - Franklin Open, 2024 - Elsevier
This paper explores novel ways of predicting and classifying the dynamics of piecewise
smooth maps using various deep learning models. Moreover, we have used machine …
smooth maps using various deep learning models. Moreover, we have used machine …
Strong delayed negative feedback
T Erneux - Frontiers in Network Physiology, 2024 - frontiersin.org
In this paper, we analyze the strong feedback limit of two negative feedback schemes which
have proven to be efficient for many biological processes (protein synthesis, immune …
have proven to be efficient for many biological processes (protein synthesis, immune …
Influence of the magnetic flux on the dynamics of a self-sustaining system: analytical, numerical and analogical investigations
C Dang-Ra, AC Chamgoué, MK Wouapi… - Physica …, 2024 - iopscience.iop.org
This paper investigates the nonlinear dynamics of a ferroelectric enzyme-substrate reaction
modeled by the birhythmic van der Pol oscillator coupled to the magnetic flux. We derive the …
modeled by the birhythmic van der Pol oscillator coupled to the magnetic flux. We derive the …