Brain Dynamics

This research cluster investigates predictive information processing as it is one of the keystones of efficient interactions within our environment. By presenting stimuli with statistical regularities or characteristics, predictions about future input are formed. We aim at investigating such predictive processes in association to different conscious experiences using MEG, EEG, and fMRI measurements. For example, we look at brain activity during auditory predictions (generated by tone sequences with a specific order) and how those relate to tinnituts or other maladaptive phenomena. Similarly, we can explore how the brain reacts to semantic predictions (e.g. word probabilities in acoustic speech) under different levels of consciousness or with different levels of skill (e.g. readers with developmental dyslexia). Finally, we investigate how sensory predictive processing relates to decision making and abnormalities thereof (e.g. as found in psychiatric populations).