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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |