Results 81 to 90 of about 1,813,184 (347)

Differential Dynamic Programming for time-delayed systems

, 2017
Trajectory optimization considers the problem of deciding how to control a dynamical system to move along a trajectory which minimizes some cost function.
Fan, David D., Theodorou, Evangelos A.
core   +1 more source

Asymptotic stability for neural networks with mixed time-delays: The discrete-time case [PDF]

, 2009
This is the post print version of the article. The official published version can be obtained from the link - Copyright 2009 Elsevier LtdThis paper is concerned with the stability analysis problem for a new class of discrete-time recurrent neural ...
, , Liu, Xiaohui., Liu, Yurong., Wang, Zidong.   +4 more
core   +2 more sources

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Global synchronization for delayed complex networks with randomly occurring nonlinearities and multiple stochastic disturbances [PDF]

, 2009
This is the post print version of the article. The official published version can be obained from the link - Copyright 2009 IOP Publishing LtdThis paper is concerned with the synchronization problem for a new class of continuous time delayed complex ...
Arnold L, Boyd S, Gao H, Gu K Q, Jinling Liang, Khalil H K, Khasminskii R Z, Mao X, Slotine J E, Toroczkai Z, Williams D, Yao Wang, Yue D, Zidong Wang   +13 more
core   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

The pth Moment Exponential Synchronization of Drive-Response Memristor Neural Networks Subject to Stochastic Perturbations

Complexity, 2023
In this paper, the pth moment exponential synchronization problems of drive-response stochastic memristor neural networks are studied via a state feedback controller.
Xiaobo Wang, Xuefei Wu, Zhe Nie, Zengxian Yan   +3 more
doaj   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 more
wiley   +1 more source

Exponential Synchronization of Coupled Neural Networks with Hybrid Delays and Stochastic Distributed Delayed Impulses

Mathematics
This paper is concerned with exponential synchronization for a class of coupled neural networks with hybrid delays and stochastic distributed delayed impulses.
Gang Zhang, Yinfang Song, Xiaoyou Liu
doaj   +1 more source

Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment

Complexity, 2018
The problem of exponential synchronization for neural networks is investigated via feedback control in complex environment. By constructing suitable Lyapunov-Krasovskii functionals and applying the piecewise analytic method, some sufficient criteria for ...
Xiaoxiao Lv, Xiaodi Li, Jinde Cao, Peiyong Duan   +3 more
doaj   +1 more source

Integration of continuous-time dynamics in a spiking neural network simulator

, 2016
Contemporary modeling approaches to the dynamics of neural networks consider two main classes of models: biologically grounded spiking neurons and functionally inspired rate-based units.
Bolten, Matthias, Dahmen, David, Diesmann, Markus, Frommer, Andreas, Hahne, Jan, Helias, Moritz, Schuecker, Jannis   +6 more
core   +1 more source