Paper
21 April 2016 Generalized synchronization in the complex network: theory and applications to epileptic brain
Olga I. Moskalenko, Anatoly A. Pivovarov, Alexey N. Pavlov, Alexey A. Koronovskii, Marina V. Khramova, Alexander E. Hramov
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Abstract
Generalized synchronization in complex networks with chaotic dynamical systems being in their nodes has been studied. The synchronous regime is shown to be detected by the sign-change of the second positive Lyapunov exponent of the network or by the nearest neighbor method. The same method is shown to be applied for the detection of the synchronous regime between the different fields of epileptic brain.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olga I. Moskalenko, Anatoly A. Pivovarov, Alexey N. Pavlov, Alexey A. Koronovskii, Marina V. Khramova, and Alexander E. Hramov "Generalized synchronization in the complex network: theory and applications to epileptic brain", Proc. SPIE 9917, Saratov Fall Meeting 2015: Third International Symposium on Optics and Biophotonics and Seventh Finnish-Russian Photonics and Laser Symposium (PALS), 991723 (21 April 2016); https://doi.org/10.1117/12.2229737
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KEYWORDS
Brain

Dynamical systems

Complex systems

Neodymium

Electronic filtering

Fourier transforms

Image filtering

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