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Project: Algorithmical and computational models for the study of EEG en local fieldpotentials from de deep core of the brain

01-JAN-06 – 31-DEC-07

The theoretical part is the study of feature-abstraction and Kernel construction based on datacompression principles for support vector machines from the point of fundamental learning principles such as statistical learningtheory and Solomonoff-induction. The second part is the analysis of 48-hours EEG and local field potentials of Parkinsonpatients. In order to understand there disfunction of the basal ganglia, necessary for further improvement of the deep-brain-stimulation treatment.