Synchronizing oscillatory chaos in the brain
| Autor: | Felisa M. Córdova, M Hernán Díaz, Fernando Cifuentes, Fernando Maureira Cid, Elízabeth Flores |
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| Rok vydání: | 2019 |
| Předmět: |
Hurst exponent
Balance (metaphysics) Series (mathematics) Computer science Chaotic Estimator Synchronizing 020206 networking & telecommunications 02 engineering and technology 0202 electrical engineering electronic engineering information engineering Range (statistics) General Earth and Planetary Sciences 020201 artificial intelligence & image processing Statistical physics General Environmental Science Envelope (waves) |
| Zdroj: | ITQM |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2019.12.076 |
| Popis: | We constructed the idea of oscillatory chaos in the brain during the process to use a non-linear estimator that allows us to have a more global, emergent and integrated view of the brain dynamics in its unpredictable realm of quasi-chaos forces. Through extend the application of the Hurst exponent as an estimator of the chaos/order balance of a time series, we explore such oscillatory dynamic of the brain at various time scales, applying at the end a recursive Hurst exponent estimator over a time series built from a time series of 1 second H chaos estimators. Results suggest the appearance of an emergent meta-chaos (HH) envelope that could be implied in provide order and direction in a multi-fractal chaotic system as the brain, as far as these HH estimators’ values resulted influenced by the Hurst persistent effect (H>0.5). This meta-chaos estimator is sensitive to intra- and inter-individual differences, symmetric/asymmetric intra-individual patterns, and also to the frequency range of the EEG signal studied. |
| Databáze: | OpenAIRE |
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