Paper: BCI, source localization & machine learning
Posted: Mon Dec 11, 2017 3:07 pm
Hello everybody,
for those who are curious about EEG source localization (source reconstruction, inverse models; the algorithms go by the names of sLORETA, MN, WMN, etc) in the BCI scope and how such techniques relate to the machine learning methods such as CSP, the little overview I wrote for the Journal of Neural Engineering might be worth a glance,
http://iopscience.iop.org/article/10.10 ... a86d0/meta
The paper also works as a short introduction to linear feature extraction techniques in BCI in general (e.g. Laplacian filters, PCA/ICA, CSP, etc).
Best,
Jussi
for those who are curious about EEG source localization (source reconstruction, inverse models; the algorithms go by the names of sLORETA, MN, WMN, etc) in the BCI scope and how such techniques relate to the machine learning methods such as CSP, the little overview I wrote for the Journal of Neural Engineering might be worth a glance,
http://iopscience.iop.org/article/10.10 ... a86d0/meta
The paper also works as a short introduction to linear feature extraction techniques in BCI in general (e.g. Laplacian filters, PCA/ICA, CSP, etc).
Best,
Jussi