Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters

Recently, spatio-temporal filtering to enhance decoding for Brain-Computer-Interfacing (BCI) has become increasingly popular. In this work, we discuss a novel, fully Bayesian–and thereby probabilistic–framework, called Bayesian Spatio-Spectral Filter Optimization (BSSFO) and apply it to a large data...

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Detalles Bibliográficos
Autores principales: Suk, Heung-Il, Fazli, Siamac, Mehnert, Jan, Müller, Klaus-Robert, Lee, Seong-Whan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925079/
https://www.ncbi.nlm.nih.gov/pubmed/24551050
http://dx.doi.org/10.1371/journal.pone.0087056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925079/
https://www.ncbi.nlm.nih.gov/pubmed/24551050
http://dx.doi.org/10.1371/journal.pone.0087056

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