Research
Our research is positioned at the interface between physics, applied mathematics, neurology and neuroscience. Our main objective is to characterize brain functions and dysfunctions from the perspective of dynamical systems theory. We use three complementary approaches to pursue this goal. (I) The development of innovative nonlinear signal analysis techniques to study data modalities which are specific for brain recordings. (II) The analysis of electroencephalographic (EEG) recordings from epilepsy patients with regard to the localization of the seizure-generating brain area, the dynamics underlying seizures, and the predictability of seizures. (III) The study of synchronization in mathematical models of coupled oscillators networks. While our research is often of basic nature, we strive to bridge the gap towards the practical applicability of our findings. For this purpose, we collaborate with international clinical and industrial partners aiming to exploit our work for an improved diagnostics and treatment of epilepsy patients.
The links in this list below direct you to videos in which we explain some of our research.
- Summaries of our 2022 publication in Physical Review E. Phase irregularity: A conceptually simple and efficient approach to characterize electroencephalographic recordings from epilepsy patients.
- Conference talk about our 2021 publication in Chaos: Chimeras confined in fractal boundaries in the complex plane.
- Research seminars providing an overview about our work