Combined Application of Global Optimization and Nonlinear Dynamics to Detect State Resetting in Human Epilepsy

Biocomputing ◽  
2002 ◽  
pp. 139-157 ◽  
Author(s):  
J. C. Sackellares ◽  
L. D. Iasemidis ◽  
P. Pardalos ◽  
D.-S. Shiau
2021 ◽  
Vol 16 (91) ◽  
pp. 125-143
Author(s):  
Aleksei A. Gavrishev ◽  

In this article, based on the mathematical, numerical and computer modeling carried out by the combined application of E&F Chaos, Past, Fractan, Visual Recurrence Analysis, Eviews Student Version Lite programs, some of the well-known 2D models of S-chaos are modeled, the data obtained are studied using nonlinear dynamics methods and the fact of their relation or non-relation to chaotic (quasi-chaotic) processes is established. As a result, it was found that the time diagrams obtained for the studied 2D models of S-chaos have a complex noise-like appearance and are continuous in the time domain. The resulting spectral diagrams have both a complex noise-like and regular appearance and are continuous in the spectral regions. The obtained values of BDS-statistics show that some of the time implementations can be attributed to chaotic (quasi-chaotic) processes. Also, the obtained values of BDS-statistics show that the studied 2D models of S-chaos have a property characteristic of classical chaotic (quasi-chaotic) processes: the slightest change in the initial conditions leads to the generation of a new set of signals. The obtained values of the lower bound of the KS-entropy show that the studied models also have the properties of chaotic (quasi-chaotic). Taking into account the conducted research and data from known works [1–5], it is possible to conclude that 2D models of S-chaos can relate to chaotic (quasi-chaotic) processes.


1995 ◽  
Vol 50 (2) ◽  
pp. 107-108 ◽  
Author(s):  
Michael F. Halasz

2010 ◽  
Author(s):  
Patrice Renaud ◽  
Mathieu Goyette ◽  
Simon Zhornicki ◽  
Dominique Trottier ◽  
Joanne-L. Rouleau ◽  
...  
Keyword(s):  

2008 ◽  
Author(s):  
J. Navarro ◽  
C. Arrieta ◽  
L. Ceja
Keyword(s):  

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