Krauledat, M.M.KrauledatBlankertz, B.B.BlankertzDornhege, G.G.DornhegeSchröder, M.M.SchröderCurio, G.G.CurioMüller, K.R.K.R.Müller2022-03-102022-03-102006https://publica.fraunhofer.de/handle/publica/35401110.1109/IEMBS.2006.2609292-s2.0-429491159632-s2.0-34047145493This 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).en004On-line differentiation of neuroelectric activities: algorithms and applicationsconference paper