@article {2141,
	title = {Time-Dependent Demixing of Task-Relevant EEG Signals.},
	year = {2006},
	month = {09/2006},
	abstract = {<p>Given a spatial filtering algorithm that has allowed us to identify task-relevant EEG sources, we present a simple approach for monitoring the activity of these sources while remaining relatively robust to changes in other (task-irrelevant) brain activity. The idea is to keep spatial *patterns* fixed rather than spatial filters, when transferring from training to test sessions or from one time window to another. We show that a fixed spatial pattern (FSP) approach, using a moving-window estimate of signal covariances, can be more robust to non-stationarity than a fixed spatial filter (FSF) approach.</p>},
	url = {http://edoc.mpg.de/312053},
	author = {Jeremy Jeremy Hill and Farquhar, Jason and Lal, T.N and Sch{\"o}lkopf, B}
}
