Supervisor: JANDÓ, Gábor
Co-supervisor: RADÓ, János
Independent component analysis (ICA) seems to be a promising artificial intelligence (AI) method which is suitable to blind separate non-gaussian signals that are independent from each other. The goal of this project is to study the utility of ICA method in the analysis of visual evoked responses in EEG records, whether noises of non-neuronal origin can be reduced efficiently and/or signal to noise ration of the record can be improved significantly. Registration of motivated students are expected who are interested in math and programming.