Toward Brain Computer Interfacing:
Algorithms for on-line Differentiation of Neuroelectric Activities

Prof Dr. Klaus-Robert Mueller(1-3)

(1) Technical University of Berlin, Computer Science, Berlin
(2) Bernstein Zentrum for Computational Neuroscience Berlin
(3) Bernstein Focus for Neurotechnology Berlin


Brain Computer Interfacing (BCI) aims at making use of brain signals
for e.g. the control of objects, spelling, gaming and so on. This talk
will first provide a brief overview of Brain Computer Interface
from a machine learning and signal processing perspective. In
particular it shows the wealth, the complexity and the difficulties of
the data available, a truely enormous challenge: In real-time a
multi-variate very strongly noise contaminated data stream is to be
processed and neuroelectric activities are to be accurately
differentiated in real time.

Finally, I report in more detail about the Berlin Brain Computer
(BBCI) Interface that is based on EEG signals and take the audience
all the way from the measured signal, the preprocessing and filtering,
the classification to the respective application.  BCI as a new
channel for man-machine communication is discussed in a clincial
setting and for gaming.


This is joint work with Benjamin Blankertz,
Michael Tangermann, Claudia Sanelli, Carmen Vidaurre, Thorsten Dickhaus
(TU Berlin), Steven Lemm, Guido Nolte, Andreas Ziehe, Florin Popescu
(Fraunhofer FIRST, Berlin) Gabriel Curio, Vadim Nikulin (Charite,
Berlin) and further member of the Berlin Brain Computer Interface
team, see www.bbci.de.




short CV


Klaus-Robert Müller has been Professor for Computer Science at TU Berlin
since 2006; at the same time he is directing the Bernstein Focus on
Neurotechnology Berlin. He studied physics in
Karlsruhe from 1984-89 and also obtained his PhD in Computer Science at
TU Karlsruhe in 1992. After a PostDoc at GMD FIRST in Berlin from
1992-1994, he was a European Community STP Research Fellow at University
of Tokyo from 1994-1995. From 1995 he built up the Intelligent Data
Analysis (IDA) group at GMD FIRST (later Fraunhofer FIRST) and and
directed it until 2008. 1999-2006 he was a Professor for Computer
Science at University of Potsdam.  In 1999, he was awarded the Olympus
Prize by the German Pattern Recognition Society, DAGM and in 2006 he
received the SEL Alcatel Communication Award. His research interests are
intelligent data analysis, machine learning, statistical signal
processing and statistical learning theory with the application foci
computational finance, computational chemistry, computational
neuroscience and genomic data analysis. Since 2000 one of his main
scientific interests is to study the interface between brain and
machine: non-invasive EEG-based Brain Computer Interfacing.