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Berlin - Kyoto / Nara

German - Japanese Collaboration in Computational Neuroscience

"Robust, adaptive BCIs for nonstationary environments"
(funded by BMBF and JST)

This project focuses on further robustifying non-invasive Brain Computer Interfaces (BCIs) for use in real-world environments. Novel more efficient and adaptive learning schemes will be developed that will render a BCI invariant against strong real-world noise sources (such as in home environments) and moreover immune against nonstationarity induced by external (changing experimental environment) and internal (fluctuations of brain states) causes. The interdisciplinary German-Japanese team has a 15 years long tradition of collaboration and exchange both in the fields of machine learning and BCI.

While the primal goal is to make non-invasive BCIs more accessible to and more robust for a wider range of applications, the project will also formally link the Berlin BCI with the largest Japanese BCI project, where a platform is set up in Kyoto to serve as an ultimate technological test to the use of BCIs in home environments for disabled and non-disabled subjects.

The robust adaptive BCI to be developed in this collaboration will establish on one  side a technical measurement system and on the other side it will ultimately enable better physiological understanding of brain activities also during the subject’s interaction with the real-world outside the lab.


The following scientists take part in this collaboration:

  • Prof. Dr. K.-R, Müller, Dr. B. Blankertz, Dr. C. Vidaurre, Technische Universität Berlin
  • Dr. M. Kawanabe, Fraunhofer FIRST Berlin
  • Prof. Dr. S. Oba, Dr. J. Hirayama, Kyoto University, Kyoto, Japan
  • Prof. Dr. T. Takenouchi, Nara Institute of Science and Technology (NAIST)


German Coordinator:

Prof. Dr. Klaus-Robert Müller
Technische Universität Berlin
Maschinelles Lernen
Sekr. MAR 4-1
Marchstr. 23
D-10587 Berlin

Tel.: +49 (0) 30 / 314 78620
Fax: +49(0) 30 / 314 78622