central interest of research in the Action Lab is the control and
of goal-directed human behavior. What organizational principles are at
movement coordination? What perceptual information is used to
complex neuromuscular structure? The theoretical framework that
studies interprets the actor in the environment as a dynamical system,
high-dimensional, nonlinear, and capable of producing coordinated and
behavior. More specifically, our research agenda focuses on single- and
joint human movements in perceptually specified tasks. We pursue a
research strategy consisting of: (1) an empirical component with
experiments on human subjects, (2) theoretical work which develops
models for movement generation on the basis of coupled dynamical
(3) brain imaging studies that investigate the cerebral activity
movement. More recently, we have extended these experimental paradigms
neurological disorders such as Parkinson's disease and split-brain
Selected Recent Publications:
S., Dijkstra, T.M.H., & Sternad, D. (2013). Learning to never
forget - time scales and specificity of long-term memory of a motor
skill. Frontiers in Computational Neuroscience, 7:111, doi: 10.3389/fncom.2013.00111.
Abe, M.O., Hu, X., & Muller, H. (2011). Neuromotor noise, error
tolerance and velocity- dependent costs in skilled performance. PLoS Computational Biology, 7(9), e1002159.
Sternad, D., Park, S., Muller, H., & Hogan, N. (2010). Coordinate dependence of variability analysis. PLoS Computational Biology, 6(4), e1000751.
Ronsse, R., Wei, K., & Sternad, D. (2010). Optimal control of a hybrid rhythmic-discrete task: the bouncing ball revised. Journal of Neurophysiology, 103, 2482-2493.
Raftery, A. Cusumano,
J., & Sternad, D. (2008). Chaotic frequency scaling in a
oscillator model for free rhythmic actions. Neural
Computation, 20, 205-226.
K., Dijkstra, T. M. H., & Sternad, D. (2007). Passive stability
active control in a rhythmic task. Journal
of Neurophysiology, 98, 5,
Schaal S., Sternad D., Osu R. & Kawato M. (2004). Rhythmic arm movements are not discrete.
Nature Neuroscience 7,10, 1136-1143.