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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Detalles Bibliográficos
Autores principales: Nguyen, Phuong Thi Mai, Hayashi, Yoshikatsu, Baptista, Murilo Da Silva, Kondo, Toshiyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530765/
https://www.ncbi.nlm.nih.gov/pubmed/33004963
http://dx.doi.org/10.1038/s41598-020-73346-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530765/
https://www.ncbi.nlm.nih.gov/pubmed/33004963
http://dx.doi.org/10.1038/s41598-020-73346-z

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