Presentation
What is our research about?
Our research is positioned at the interface between physics, neuroscience, and engineering. One of our main targets is the development of innovative nonlinear time series analysis techniques. These techniques aim to characterize dynamical systems for which nonlinearities cause a complicated temporal evolution. A further main target of our work is the application of nonlinear time series techniques to electrophysiological recordings from the brain as well as to further types of experimental signals. In recent work we furthermore use a data-driven approach to study coupled oscillator network models that show so-called chimera states. Summaries of our work is given in these talks by Ralph G. Andrzejak.
2015: Why is our nonlinear time series analysis group not linear?
2018: Concepts and tools from nonlinear dynamics: Helpful to understand and diagnose epilepsy?
Some highlights
- Our group will host the first PhD student granted with the Dorcas Muthoni fellowship.
- Our recent article in Scientific Reports on Analogies between chimera state collapses and epileptic seizures received some news coverage in online media. See for example [1] or [2].
- We take part in the new master on Computational Biomedical Engineering. We participate in the teaching of courses and hosts students for their master theses.
- The group forms one node of the Innovative Training Network - European Joint Degree project COSMOS, European Commission, Horizon 2020 program.