Stability
For rhythmic movements the corresponding state variables are modeled as self-sustaining oscillators. We particularly focus on the stability of coordination patterns, i.e. on the interactions between oscillators.
For rhythmic movements the corresponding state variables are modeled as self-sustaining oscillators. We particularly focus on the stability of coordination patterns, i.e. on the interactions between oscillators.
Studying motor-related changes of synchronized neural activity and its network-like distribution elucidates how the brain can operate as functional unit despite numerous anatomical connections between simultaneously active neurons.
We relate the dynamical and stochastic properties of (networks of) neurons to understand the functional role of oscillatory activity in motor control. Focus is on the relation between frequency bands, be it switches between frequencies or interactions between coexisting oscillations.
We develop a large arsenal of sophisticated motor behaviors from the moment we are born. In the elderly, however, motor skills are jeapordized, calling for an in-depth research for age-related changes in motor control.
The spatio-temporal organization of human movement always takes place within a specific psychological context. Actors may be in various mental states, and these states will likely affect the way basic movements are organized and controlled.
We are facing a time of rapid technological progress with regard to measuring, improving and stimulating human movement. We merge cutting-edge human movement science with state-of-the-art motion technology and academic entrepreneurship.