Generalized synchronization in the complex network: theory and applications to epileptic brain

被引：0
|
作者：
Moskalenko, Olga I. [1 ,2 ]
Pivovarov, Anatoly A. [1 ]
Pavlov, Alexey N. [1 ,2 ]
Koronovskii, Alexey A. [1 ,2 ]
Khramova, Marina V. [1 ]
Hramov, Alexander E. [1 ,2 ]
机构：
[1] Saratov NG Chernyshevskii State Univ, Astrakhanskaya 83, Saratov 4100012, Russia
[2] Saratov State Tech Univ, Polytech Skaya 77, Saratov 410054, Russia
来源：
SARATOV FALL MEETING 2015 THIRD INTERNATIONAL SYMPOSIUM ON OPTICS AND BIOPHOTONICS; AND SEVENTH FINNISH-RUSSIAN PHOTONICS AND LASER SYMPOSIUM (PALS) | 2016年 / 9917卷
关键词：
Generalized synchronization; Lyapunov exponents; nearest neighbors; neurophysiological data; epileptic brain; LYAPUNOV EXPONENTS; WAVELET ANALYSIS; CHAOTIC SYSTEMS;
D O I：
10.1117/12.2229737
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：7
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