Results 31 to 40 of about 56,788 (302)

New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks [PDF]

open access: yes, 2017
Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order α, 0<α≤1/2 and 1/2<α<1, is investigated in this paper.
Weiwei Zhang   +3 more
core   +1 more source

Controller design for synchronization of an array of delayed neural networks using a controllable

open access: yes, 2011
This is the post-print version of the Article - Copyright @ 2011 ElsevierIn this paper, a controllable probabilistic particle swarm optimization (CPPSO) algorithm is introduced based on Bernoulli stochastic variables and a competitive penalized method ...
Tang, Y   +5 more
core   +1 more source

Resynchronization of delayed neural networks

open access: yesDiscrete and Continuous Dynamical Systems, 2001
The subject of the paper is a model of a network of identical neurons of the following form \[ \dot u_j(t) = - \mu u_j(t) + \sum_{l=1}^{n} J_{jl} f(u_l(t-\tau)), \quad j=1,\dots,n, \] where \(\mu\) and \(\tau\) are nonnegative constants, \(f:\mathbb{R}\to\mathbb{R}\) is bounded and \(C^1\)-smooth with \(f(0)=0\), \(f'(x)>0\) for all \(x\in\mathbb{R}\).
openaire   +1 more source

Synchronization in an array of linearly stochastically coupled networks with time delays

open access: yes, 2007
This is the post print version of the article. The official published version can be obtained from the link - Copyright 2007 Elsevier LtdIn this paper, the complete synchronization problem is investigated in an array of linearly stochastically coupled ...
Wang, Z, Cao, J, Sun, Y
core   +1 more source

Stability and Hopf Bifurcation of Fractional-Order Quaternary Numerical Three-Neuron Neural Networks with Different Types of Delays

open access: yesAxioms
In this paper, the stability and Hopf bifurcation of fractional-order quaternion-valued neural networks (FOQVNNs) with various types of time delays are studied.
Qiankun Wang   +3 more
doaj   +1 more source

New exponential stability results for delayed neural networks with time varying delays

open access: yes, 2021
This paper presents new sufficient conditions for the uniqueness and exponential stability of the equilibrium point for delayed neural networks with time varying delays.
Arik, Sabri, YUCEL, ESRA
core   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Dynamical Analysis of DTNN with Impulsive Effect

open access: yesDiscrete Dynamics in Nature and Society, 2009
We present dynamical analysis of discrete-time delayed neural networks with impulsive effect. Under impulsive effect, we derive some new criteria for the invariance and attractivity of discrete-time neural networks by using decomposition approach and ...
Chao Chen   +3 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

A study of exponential stability for stochastic delayed neural networks

open access: yes, 2010
This paper is concerned with analyzing mean square exponential stability of stochastic delayed neural networks subject to parametric uncertainties. The discretized Lyapunov functional technique is first utilized to construct a new Lyapunov functional in ...
Wei Xing Zheng   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy