TY - GEN
T1 - Tutorial on multimodal neuroimaging for brain-computer interfacing
AU - Fazli, Siamac
AU - Müller, Klaus Robert
AU - Lee, Seong Whan
AU - Blankertz, Benjamin
PY - 2013/5/17
Y1 - 2013/5/17
N2 - Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subject-independent BCI classifiers and secondly how multi-modal neuroimaging methods, namely combined EEG and NIRS measurements can help in enhancing as well as robustifying BCI performance.
AB - Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subject-independent BCI classifiers and secondly how multi-modal neuroimaging methods, namely combined EEG and NIRS measurements can help in enhancing as well as robustifying BCI performance.
KW - Brain Computer Interfacing, Subject
KW - independent classifiers
KW - Multimodal Neuroimaging
UR - http://www.scopus.com/inward/record.url?scp=84877712393&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877712393&partnerID=8YFLogxK
U2 - 10.1109/IWW-BCI.2013.6506605
DO - 10.1109/IWW-BCI.2013.6506605
M3 - Conference contribution
AN - SCOPUS:84877712393
SN - 9781467359733
T3 - 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
SP - 1
EP - 2
BT - 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
T2 - 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Y2 - 18 February 2013 through 20 February 2013
ER -