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The aim of this lecture is to provide an illustrative tutorial on the methods for single-trial EEG analysis. Basic concepts of feature extraction and classification will be explained in a way that is accessible to participants from non-technical areas for BCI research in order to facilitate the inte ...

This talk will present several novel applications of neurotechnology that exploit techniques developed in BCI research. Differently from BCI research, the aim here is not to read out the intent of the user, but rather to quantify certain aspects of her/his mental state. The appeal of such neurotechn ...

The aim of this lecture is to provide an illustrative tutorial on the methods for single-trial ERP analysis. Basic concepts of feature extraction and classification will be explained in a way that is accessible to participants from non-technical areas for BCI research in order to facilitate the inte ...

We will first provide a brief overview of Brain-Computer Interface from a machine learning and signal processing perspective. In particular showing the wealth, the complexity and the difficulties of the data available, a truly enormous challenge: In real-time a multi-variate very strongly noise cont ...