Michał Komorowski, Department of Informatics, NCU: “State of the Spectral Fingerprints for November 2018”
To study human brain is to discover mechanisms of human cognition, causes of mental disorders and motivations of our behavior. Each brain region tends to generate unique pattern of activity that is correlated with those mechanisms. An original approach by Anne Keitel and Joachim Gross („Individual human brain areas can be identified from their characteristic spectral activation fingerprints”, PLoS Biol, t. 14, nr 6, s. e1002498, 2016), called Spectral Fingerprinting, is able to distinguish different brain regions from each other and expose their internal dynamics. My ultimate long term goal of studying this method is to reimplement it to be working with EEG signals. It is hoped to open new possibilities of analyzing deeper brain regions and their dynamics. During my presentation I described Spectral Fingerprinting in more details , talked about my progress in reimplemenation and plans for the future research.