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Exploring Age-Related Changes in Dynamical Non-Stationarity in Electroencephalographic Signals during Early Adolescence
Dynamics of brain signals such as electroencephalogram (EEG) can be characterized as a sequence of quasi-stable patterns. Such patterns in the brain signals can be associated with coordinated neural oscillations, which can be modeled by non-linear systems. Further, these patterns can be quantified t...
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| Główni autorzy: | , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Public Library of Science
2013
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3597712/ https://ncbi.nlm.nih.gov/pubmed/23516400 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0057217 |
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