We analyse and model complex brain dynamics at various temporal and spatial scales to improve understanding of normal brain functions and epileptic processes, particularly transitions into and out of epileptic seizures, and to develop new diagnosis, treatment, and intervention options for people with epilepsy and other neurological diseases.
To this end, we improve existing and develop new methods and time series analysis techniques from statistical physics, dynamical systems theory, synchronization and graph theory and model the multiscale neuronal dynamics on complex networks.
For numerical investigations and simulations, a 200-core computing cluster is available.