THE BERLIN BRAIN-COMPUTER INTERFACE FOR RAPID RESPONSE

The Berlin Brain-Computer Interface (BBCI) project is guided by the idea to train a computer using advanced machine learning and signal processing techniques in order to improve classification performance and to reduce the need of subject training. Instead of having the human adapt to a predefined feedback that is computed from a fixed set of features, the BBCI adapts to the user’s brain waves by learning (’let the machines learn’). One aspect of the BBCI is the capability of giving fast-response feedback. This was investigated in keyboard typing paradigms with self-paced as well as reactive finger movements in a time critical task. In both settings a prediction of the laterality of upcoming movements was possible before EMG onset.