Results 81 to 90 of about 56,788 (302)

Exponential Stability Analysis for Neutral Stochastic Delayed Neural Networks

open access: yes, 2011
In this paper, the generalized Finsler lemma and augmented Lyapunov functional are introduced to establish some improved delay-dependent stability criteria of neutral stochastic delayed neural networks.
Wei Li Dai, Jun Tao Fei, Min Gang Hua
core   +1 more source

Stability of discrete‐time fractional‐order time‐delayed neural networks in complex field

open access: yes, 2020
Dynamics of discrete‐time neural networks have not been well documented yet in fractional‐order cases, which is the first time documented in this manuscript.
Cao, Jinde   +11 more
core   +1 more source

Sliding Intermittent Control for BAM Neural Networks with Delays

open access: yesAbstract and Applied Analysis, 2013
This paper addresses the exponential stability problem for a class of delayed bidirectional associative memory (BAM) neural networks with delays. A sliding intermittent controller which takes the advantages of the periodically intermittent control idea ...
Jianqiang Hu   +3 more
doaj   +1 more source

Synchronization of Time-Varying Delayed Neural Networks by Fixed-Time Control

open access: yesIEEE Access, 2018
This paper discusses synchronization of time-varying delayed neural networks by fixed-time control. First, several new fixed-time stability theorems of the dynamic system are discussed, and the estimation of the convergence time is also gained.
Yuhua Xu, Xiaoqun Wu, Chao Xu
doaj   +1 more source

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan   +9 more
wiley   +1 more source

Mean square exponential stability of uncertain stochastic delayed neural networks

open access: yes, 2008
This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neural networks. By applying Lyapunov functional method, new delay-dependent/independent mean square exponential stability criteria are derived in terms of ...
Chen, Wu-Hua (R13917), Lu, Xiaomei
core   +1 more source

Bipartite Synchronization of Fractional-Order Memristor-Based Coupled Delayed Neural Networks with Pinning Control

open access: yes, 2022
This paper investigates the bipartite synchronization of memristor-based fractional-order coupled delayed neural networks with structurally balanced and unbalanced concepts.
P. Babu Dhivakaran   +6 more
core   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu   +21 more
wiley   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

Robust stability analysis of delayed neural networks with polytopic type uncertainties

open access: yes, 2005
We investigate the problem of global robust stability for delayed neural networks in this paper. We first utilize the free-weighting matrices to express the relationship between the terms in the system equation, and then apply the S-procedure to derive a
Wang, Qing-Guo   +2 more
core  

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