Pavel Dvurechenskii, Klaus-Robert Müller, Shinichi Nakajima, Vladimir Spokoiny
01.01.2021 − 31.12.2022
We focus on analyzing neuroimaging data (EEG/MEG/fMRI) to find correlates of brain activity for a better understanding of e.g. ageing processes. We develop a Bayesian optimal transport framework to detect and statistically validate clusters and differences of brain activities taking into account the spatio-temporal structure of neuroimaging data.