EEG is a highly complex signal. One of the main challenges of EEG analysis is to robustify against artifacts, non-stationarities and task unrelated variability. This holds in particular for EEG experiments outside a controlled lab environment. The tutorial will report on a broad line of algorithmic research to analyse and compensate non-stationarity in EEG thriving for more robust analysis.