lyapunovexponent function (MathWorks Inc)
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lyapunovexponent function
Lyapunovexponent Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lyapunovexponent+function/pm40582490-116-9-9
Average 90 stars, based on 1 article reviews
Lyapunovexponent Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lyapunovexponent+function/pm40582490-116-9-9
Average 90 stars, based on 1 article reviews
lyapunovexponent function - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Two-channel EEG based diagnosis of panic disorder and major depressive disorder using machine learning and non-linear dynamical methods. Article Snippet: Further adjustments showing an improvement in computational speed led to the emergence of Rosenstein’s algorithm (Rodriguez-Bermudez and Garcia-Laencina, 2015; Rosenstein et al., 1993; Stam, 2005), which was the basis of our computations in this study, as implemented in the "LyapunovExponent" function in the Article Title: pyPCG: a Python toolbox specialized for phonocardiography analysis. Article Snippet: It is important to note, that the implementation in Python libraries and the Article Title: EEG spectral attractors identify a geometric core of brain dynamics Article Snippet: We calculated the maximal Lyapunov exponent (MLE) for each ETD-reconstructed dimension to characterize instability (chaotic nature) of their Article Title: Distinct modes of functional neural organization in autism: Insights from dynamical systems analysis of resting-state EEG. Article Snippet: While differences in patterns of functional connectivity and neural synchronization have been reported between individuals on the autism spectrum and neurotypical peers at various age stages, these differences appear to be subtle and may not be captured by typical quantitative measures of EEG.. We used the dynamical systems approach to analyze resting-state EEG to investigate fine-grained spatiotemporal organization of brain networks in autistic and neurotypical young adults.. While power spectra showed minimal group differences, autistic participants exhibited higher Lyapunov exponents (indicating less stable neural dynamics), weaker phase synchronization, and lower clustering/efficiency of functional networks during eyes-open resting state, suggesting more random and less stably connected neural dynamics in comparison to those of neurotypical peers. Article Title: Impact of feedback time-distribution on laser dynamics Article Snippet: The LLE is estimated using the Article Title: Near-wall vortical structures in domains with and without curved surfaces. Article Snippet: Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare. c.6149175.. Near-wall vortical structures in domains with and without curved surfaces Manjul Sharma1, K. Aswathy Nair2, R. Vishnu3 and A. Sameen4,5 1Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA 2Department of Mechanical Engineering, FAMU-FSU College of Engineering, Tallahassee, FL 32310, USA 3Fluid Mechanics Unit, Okinawa Institute of Science and Technology Graduate University, Onna-son, Okinawa 904-0495, Japan 4Department of Aerospace Engineering, and 5Geophysical Flows Lab, Indian Institute of Technology Madras, Chennai 600036, India Article Title: EEG spectral attractors identify a geometric core of resting brain activity Article Snippet: Sampling:Article Title: EEG spectral attractors identify a geometric core of brain dynamics Article Snippet: .. This approach is intuitively similar to the term topological complexity.164 Lyapunov exponent analysis and mean frequency of principal components We calculated the maximal Lyapunov exponent (MLE) for each ETD-reconstructed dimension to characterize instability (chaotic nature) of their dynamics.53,165 |