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Prior Knowledge Improves Decoding of Finger Flexion from Electrocorticographic Signals
Brain–computer interfaces (BCIs) use brain signals to convey a user’s intent. Some BCI approaches begin by decoding kinematic parameters of movements from brain signals, and then proceed to using these signals, in absence of movements, to allow a user to control an output. Recent results have shown...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Research Foundation
2011
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3226159/ https://ncbi.nlm.nih.gov/pubmed/22144944 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2011.00127 |
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