title: On-line differentiation of neuroelectric activities: algorithms and applications.
abstract: This paper discusses machine learning methods and their application to Brain-Computer Interfacing. A particular focus is placed on linear classification methods which can be applied in the BCI context. Finally, we provide an overview of the Berlin-Brain Computer Interface (BBCI).
authors.affiliation: Fraunhofer FIRST.IDA, Kekuléstr. 7, 12 489 Berlin, Germany.
authors.forename: M
authors.initials: M
authors.lastname: Krauledat
authors.forename: B
authors.initials: B
authors.lastname: Blankertz
authors.forename: G
authors.initials: G
authors.lastname: Dornhege
authors.forename: M
authors.initials: M
authors.lastname: Schröder
authors.forename: G
authors.initials: G
authors.lastname: Curio
authors.forename: K -R
authors.initials: K-
authors.lastname: Müller
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D001931:Brain Mapping / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D010363:Pattern Recognition, Automated; D012984:Software; D014584:User-Computer Interface