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Predicting Motor Imagery Performance From Resting-State EEG Using Dynamic Causal Modeling
Motor imagery-based brain–computer interfaces (MI-BCIs) send commands to a computer using the brain activity registered when a subject imagines—but does not perform—a given movement. However, inconsistent MI-BCI performance occurs in variations of brain signals across subjects and experiments; this...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438792/ https://www.ncbi.nlm.nih.gov/pubmed/32903663 http://dx.doi.org/10.3389/fnhum.2020.00321 |