Results 21 to 30 of about 22,081,541 (270)

Death and rebirth of neural activity in sparse inhibitory networks

open access: yesNew Journal of Physics, 2017
Inhibition is a key aspect of neural dynamics playing a fundamental role for the emergence of neural rhythms and the implementation of various information coding strategies.
David Angulo-Garcia   +3 more
doaj   +1 more source

Fluctuations of finite-time Lyapunov exponents in an intermediate-complexity atmospheric model: a multivariate and large-deviation perspective [PDF]

open access: yesNonlinear Processes in Geophysics, 2019
The stability properties as characterized by the fluctuations of finite-time Lyapunov exponents around their mean values are investigated in a three-level quasi-geostrophic atmospheric model with realistic mean state and variability.
F. Kwasniok
doaj   +1 more source

Visual Analysis of the Finite‐Time Lyapunov Exponent [PDF]

open access: yesComputer Graphics Forum, 2020
AbstractIn this paper, we present an integrated visual analytics approach to support the parametrization and exploration of flow visualization based on the finite‐time Lyapunov exponent. Such visualization of time‐dependent flow faces various challenges, including the choice of appropriate advection times, temporal regions of interest, and spatial ...
Antoni Sagristà   +2 more
openaire   +1 more source

Multiscale analysis of biological data by scale-dependent Lyapunov exponent

open access: yesFrontiers in Physiology, 2012
Physiological signals often are highly nonstationary and multiscaled--- depending upon the scale at which they are examined, they mayexhibit different behaviors, such asnonlinearity, sensitive dependence on small disturbances, longmemory, and extreme ...
Jianbo eGao
doaj   +1 more source

An Extension of the Lyapunov Analysis for the Predictability Problem

open access: yesJournal of the Atmospheric Sciences, 1998
The predictability problem for systems with different characteristic time scales is investigated. It is shown that even in simple chaotic dynamical systems, the leading Lyapunov exponent is not sufficient to estimate the predictability time. This fact is due the saturation of the error on the fast components of the system which therefore do not ...
BOFFETTA, Guido   +3 more
openaire   +3 more sources

A Lyapunov Analysis of Momentum Methods in Optimization

open access: yesCoRR, 2016
Major revision.
Ashia C. Wilson   +2 more
openaire   +2 more sources

Symmetric Jacobian for local Lyapunov exponents and Lyapunov stability analysis revisited [PDF]

open access: yesChaos, Solitons & Fractals, 2012
The stability analysis introduced by Lyapunov and extended by Oseledec provides an excellent tool to describe the character of nonlinear n-dimensional flows by n global exponents if these flows are stationary in time. However, here we discuss two shortcomings: (a) the local exponents fail to indicate the origin of instability where trajectories start ...
Waldner, Franz, Klages, Rainer
openaire   +1 more source

Response of Lyapunov exponents to diffusion state of biological networks

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2020
The topologies of protein-protein interaction networks are uncertain and noisy. The network topology determines the reliability of computational knowledge acquired from noisy networks and can impose the deterministic and non-deterministic character of ...
Altuntas Volkan   +2 more
doaj   +1 more source

Lyapunov based stability analysis for metro lines [PDF]

open access: yesWIT Transactions on The Built Environment, 2008
This paper on a Lyapunov-based stability analysis for metro railway lines is from the proceedings of 14th International Conference on Urban Transport and the Environment in the 21st Century, which was held in Malta in 2008. The authors present a direct method to measure the stability of metro system lines, with respect to a previously constructed time ...
Berbey Alvarez, Aranzazu   +3 more
openaire   +3 more sources

Dynamical Behaviors of a Stochastic Semi-Parametric SEIR Model with Infectivity in the Incubation Period

open access: yesAxioms
This paper investigates a stochastic semi-parametric SEIR model characterized by infectivity during the incubation period and influenced by white noise perturbations. First, based on the theory of stochastic persistence, we derive the conditions required
Mei Li, Jing Zhang
doaj   +1 more source

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