Results 31 to 40 of about 338,472 (315)
The frequency of pattern occurrence in random walks [PDF]
Discrete Mathematics & Theoretical Computer Science, 2015 In the past decade, the use of ordinal patterns in the analysis of time series and dynamical systems has become an important tool. Ordinal patterns (otherwise known as a permutation patterns) are found in time series by taking $n$ data points at evenly ...
Sergi Elizalde, Megan Martinez
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Recurrence networks - A novel paradigm for nonlinear time series analysis [PDF]
, 2009 This paper presents a new approach for analysing structural properties of time series from complex systems. Starting from the concept of recurrences in phase space, the recurrence matrix of a time series is interpreted as the adjacency matrix of an ...
Donges, Jonathan F. +4 more
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NoLiTiA: An Open-Source Toolbox for Non-linear Time Series Analysis
Frontiers in Neuroinformatics, 2022 In many scientific fields including neuroscience, climatology or physics, complex relationships can be described most parsimoniously by non-linear mechanics.
Immo Weber +2 more
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PLoS Computational Biology, 2019 A major tenet in theoretical neuroscience is that cognitive and behavioral processes are ultimately implemented in terms of the neural system dynamics.
Georgia Koppe +4 more
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Combining global and multi-scale features in a description of the solar wind-magnetosphere coupling [PDF]
Annales Geophysicae, 2003 The solar wind-magnetosphere coupling during substorms exhibits dynamical features in a wide range of spatial and temporal scales. The goal of our work is to combine the global and multi-scale description of magnetospheric dynamics in a unified ...
A. Y. Ukhorskiy +4 more
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Entropy Analysis of High-Definition Transcranial Electric Stimulation Effects on EEG Dynamics
Brain Sciences, 2019 A foundation of medical research is time series analysis—the behavior of variables of interest with respect to time. Time series data are often analyzed using the mean, with statistical tests applied to mean differences, and has the assumption that
Diego C. Nascimento +7 more
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On the proper reconstruction of complex dynamical systems spoilt by strong measurement noise
, 2006 This article reports on a new approach to properly analyze time series of dynamical systems which are spoilt by the simultaneous presence of dynamical noise and measurement noise.
C. Renner +9 more
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A novel time-frequency multilayer network for multivariate time series analysis
New Journal of Physics, 2018 Unveiling complex dynamics of natural systems from a multivariate time series represents a research hotspot in a broad variety of areas. We develop a novel multilayer network analysis framework, i.e.
Weidong Dang +5 more
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Identifying Chaotic FitzHugh–Nagumo Neurons Using Compressive Sensing
Entropy, 2014 We develop a completely data-driven approach to reconstructing coupled neuronal networks that contain a small subset of chaotic neurons. Such chaotic elements can be the result of parameter shift in their individual dynamical systems and may lead to ...
Ri-Qi Su, Ying-Cheng Lai, Xiao Wang
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Nonlinear dynamics of giant resonances in atomic nuclei [PDF]
, 1998 The dynamics of monopole giant resonances in nuclei is analyzed in the time-dependent relativistic mean-field model. The phase spaces of isoscalar and isovector collective oscillations are reconstructed from the time-series of dynamical variables that ...
A.M. Fraser +16 more
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