Effects of bounded noise and time delay on signal transmission in excitable neural networks
D Yu, G Wang, Q Ding, T Li, Y Jia - Chaos, Solitons & Fractals, 2022 - Elsevier
The influence of bounded noise and time delay on the sub–threshold signal transmission in
FitzHugh–Nagumo neuronal networks is studied in this paper. It is found that the signal …
FitzHugh–Nagumo neuronal networks is studied in this paper. It is found that the signal …
[HTML][HTML] EEG, MEG and neuromodulatory approaches to explore cognition: Current status and future directions
Neural oscillations and their association with brain states and cognitive functions have been
object of extensive investigation over the last decades. Several electroencephalography …
object of extensive investigation over the last decades. Several electroencephalography …
Effect of topology on delay-induced multiple resonances in locally driven systems
Abstract Information transmission delays are inherent in neuronal systems and significantly
influence their dynamic properties. Recent studies have shown that delay-induced multiple …
influence their dynamic properties. Recent studies have shown that delay-induced multiple …
Spiking activities in chain neural network driven by channel noise with field coupling
Y Xu, Y Jia, H Wang, Y Liu, P Wang, Y Zhao - Nonlinear Dynamics, 2019 - Springer
The distribution of electromagnetic field in both intracellular and extracellular environments
can be changed by fluctuations in the membrane potential, and the effects of …
can be changed by fluctuations in the membrane potential, and the effects of …
Inverse stochastic resonance in Hodgkin–Huxley neural system driven by Gaussian and non-Gaussian colored noises
L Lu, Y Jia, M Ge, Y Xu, A Li - Nonlinear Dynamics, 2020 - Springer
Inverse stochastic resonance (ISR) is the phenomenon of the response of neuron to noise,
which is opposite to the conventional stochastic resonance. In this paper, the ISR …
which is opposite to the conventional stochastic resonance. In this paper, the ISR …
Stability analysis for delayed neural networks via improved auxiliary polynomial-based functions
This brief is concerned with stability analysis for delayed neural networks (DNNs). By
establishing polynomials and introducing slack variables reasonably, some improved delay …
establishing polynomials and introducing slack variables reasonably, some improved delay …
Effects of chaotic activity and time delay on signal transmission in FitzHugh-Nagumo neuronal system
D Yu, X Zhou, G Wang, Q Ding, T Li, Y Jia - Cognitive Neurodynamics, 2022 - Springer
The influences of chaotic activity and time delay on the transmission of the sub-threshold
signal (STS) in a single FitzHugh-Nagumo neuron and coupled neuronal networks are …
signal (STS) in a single FitzHugh-Nagumo neuron and coupled neuronal networks are …
Chemical and electrical synapse-modulated dynamical properties of coupled neurons under magnetic flow
The importance of coupling between neurons is confirmed that signal propagation and
exchange between neurons depend on the biological function of synapse connection. There …
exchange between neurons depend on the biological function of synapse connection. There …
Temperature effect on memristive ion channels
Y Xu, J Ma, X Zhan, L Yang, Y Jia - Cognitive neurodynamics, 2019 - Springer
Neuron shows distinct dependence of electrical activities on membrane patch temperature,
and the mode transition of electrical activity is induced by the patch temperature through …
and the mode transition of electrical activity is induced by the patch temperature through …
Functional importance of noise in neuronal information processing
Noise is an inherent part of neuronal dynamics, and thus of the brain. It can be observed in
neuronal activity at different spatiotemporal scales, including in neuronal membrane …
neuronal activity at different spatiotemporal scales, including in neuronal membrane …