1. The Berlin Brain-Computer Interface: Machine Learning-Based Detection of User Specific Brain States
Umar Farooq

3. Focus of BBCI BBCI’s motto: “ let the machine learn “
Key features include:
The use of well-established motor competences as control paradigms
High dimensional feature derived from 128-channel EEG
Advanced machine learning techniques
No need for subject training
Approach of BBCI
Discriminability of pre-movement potentials in voluntary movements
BCI system based on motor imagery
Information transfer rate for 50% of subjects (6 subjects): above 35 bits per minute
BBCI mental typewriter speed: letters per minute (including the time needed for corrections)
Reduced the training time from hours to 20 min
Subjects: Totally untrained ( i.e. independent of peripheral nervous system activity and does not rely on evoked potentials)

5. DECODING