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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Detalles Bibliográficos
Autores principales: Nurse, Ewan S., Karoly, Philippa J., Grayden, David B., Freestone, Dean R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482677/
https://www.ncbi.nlm.nih.gov/pubmed/26114954
http://dx.doi.org/10.1371/journal.pone.0131328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482677/
https://www.ncbi.nlm.nih.gov/pubmed/26114954
http://dx.doi.org/10.1371/journal.pone.0131328

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