"After the practical course students are able to: - understand theoretical foundations from neuronal responses to muscular signals , their measurement, analysis (also mulitchannel data analysis) and statistical evaluation - to set up experiments to acquire event-related potentials (e.g. auditory evoked brainstem potentials, visual ocular responses, EEG signals) - application of state-of-the-art signal processing methods, robust information extraction and evaluation of data quality of bioelectrical signals with Matlab - Conceptual understanding and Matlab implementation and evaluation of overcomplete blind source separation and classification algorithms for bioelectrical signals - statistical analysis of noisy neuronal measurement data "