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Collective almost synchronization-based model to extract and predict features of EEG signals

Understanding the brain is important in the fields of science, medicine, and engineering. A promising approach to better understand the brain is through computing models. These models were adjusted to reproduce data collected from the brain. One of the most commonly used types of data in neuroscienc...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Nguyen, Phuong Thi Mai, Hayashi, Yoshikatsu, Baptista, Murilo Da Silva, Kondo, Toshiyuki
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7530765/
https://ncbi.nlm.nih.gov/pubmed/33004963
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-73346-z
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