Time scales and hierarchical levels of networks that control human movement

Gottfried Mayer, Kinesiology, Penn State University

Human movement science traditionally focusses on behavioral and neural aspects of human movements. The creation and modification of neuronal cell assemblies turns novice actors into skilled experts of complex, coordinated movement sequences.
Here we want to extend this framework into the realm of social networks that determine the emergence and evolution of new movement sequences with certain aspects in common with self-organized criticality.
One the other end of the spectrum we want to review some recent results that show how on a micro level quantum networks could possibly be involved in fast decision-making processes.