Predictive self-motion processing in primates: Neurophysiology, modeling and behavior

The perception and control of self-motion is a central task in everyday life. Despite its importance, the neural basis of the processing of self-motion information is far from being understood. Even more so, dynamical aspects of self-motion processing and its perturbation are barely considered and, hence, are at the core of this project. In our studies, we will combine behavioral and electro-physiological studies in humans with neurophysiological and EEG recordings in the animal model (rhesus macaque), flanked by deep learning and modeling. Overall, we expect from this combined approach a much better understanding of predictive aspects of self-motion processing in primates.