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A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery
This work describes a generalized method for classifying motor-related neural signals for a brain-computer interface (BCI), based on a stochastic machine learning method. The method differs from the various feature extraction and selection techniques employed in many other BCI systems. The classifie...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4482677/ https://ncbi.nlm.nih.gov/pubmed/26114954 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0131328 |
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