The work involves the development of novel multi-dimensional signal processing techniques (e.g., tensor factorization and decomposition) and BCI-based paradigms.
Various psychophysical and physiological data are used to noninvasively decode neural correlates (EEG and MEG data) of 2D- and 3D-executed and imagined hand movements.
Other fields of research are the detection of motion primitives using various novel experimental paradigms (e.g., the point-of-no-return) and kinematic analysis methods. The Lab boasts widespread collaborations with Israeli and foreign research groups.
The BCI Lab’s facilities include an 80-channel EEG system, an eye tracker, a robotic arm, a physiological recording system, a digitizing tablet and a Kinect. Various off-the-shelf (e.g., Matlab®, Microsoft Visual Studio and Biopac Acknowledge) and custom software are used to develop and test the experimental paradigms and analyze the data.
Contact us: Dr. Ronen Sosnik
Located: Building 5, Room: 237
