Time scales and hierarchical levels of networks that control human
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
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.