Brain–Computer Interfaces - Index of

Using BCI2000 in BCI Research
Jürgen Mellinger and Gerwin Schalk
1 Introduction
BCI2000 is a general-purpose system for brain–computer interface (BCI) research.
It can also be used for data acquisition, stimulus presentation, and brain monitoring
applications [18, 27]. The mission of the BCI2000 project is to facilitate
research and applications in these areas. BCI2000 has been in development since
2000 in a collaboration between the Wadsworth Center of the New York State
Department of Health in Albany, New York, and the Institute of Medical Psychology
and Behavioral Neurobiology at the University of Tübingen, Germany. Many other
individuals at different institutions world-wide have contributed to this project.
BCI2000 has already had a substantial impact on BCI research. As of mid-2010,
BCI2000 has been acquired by more than 350 laboratories around the world. The
original article that described the BCI2000 system [27] has been cited more than
200 times, and was recently awarded the Best Paper Award by IEEE Transactions
on Biomedical Engineering. Furthermore, a review of the literature revealed that
BCI2000 has been used in more than 50 peer-reviewed publications. Many of
these papers set new directions in BCI research, which include: the first online
brain–computer interfaces using magnetoencephalographic (MEG) signals [19] or
electrocorticographic (ECoG) signals [9, 13, 14, 28, 33]; the first application of
BCI technology to functional restoration in patients with chronic stroke [4, 34]; the
demonstration that non-invasive BCI systems can support multidimensional cursor
movements [16, 17, 36]; the first real-time BCI use of high-resolution EEG techniques
[6]; the use of BCI techniques to control assistive technologies [7]; control
of a humanoid robot by a noninvasive BCI [2]; and the first demonstrations that
people severely paralyzed by amyotrophic lateral sclerosis (ALS) can use BCIs
based on sensorimotor rhythms or P300 evoked potentials [11, 22, 32]. In addition,
several studies have used BCI2000 for purposes other than BCI research, e.g.,
the first large-scale motor mapping studies using ECoG signals [12, 21]; real-time
J. Mellinger (B)
Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen,
Tübingen, Germany
e-mail: juergen.mellinger@uni-tuebingen.de
B. Graimann et al. (eds.), Brain–Computer Interfaces, The Frontiers Collection,
DOI 10.1007/978-3-642-02091-9_15, C○ Springer-Verlag Berlin Heidelberg 2010
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