The stability of coordination can often be addressed via the relative phase between the individual limb movements. We are studying in detail the effect of different interactions between limbs, effects of noise and non-autonomous forcing.
We study how different control processes contribute to stabilizing the coordination between limbs, and how they change as a function of, e.g., movement frequency and amplitude, learning, development and pathology.
We analyze cross-frequency synchronizability of complex, functional networks accompanying different oscillatory regimes with focus on effects of mutual transfer of network structures, e.g., via the type of clustering or the correlations of random components.
Complex Oscillatory Systems: Modeling and Analysis. In this EU-funded Marie Skłodowska Curie ITN, 15 ESRs are being trained in nonlinear dynamics, numerical methods, statistical mechanics and, where needed, basics of neuroscience, physiology, and system biology.