Intranet Feed RSS

Nonlinear Time Series Analysis Group

Welcome to the pages of the Nonlinear Time Series Analysis Group of the Department of Information and Communication Technologies, Universitat Pompeu Fabra in Barcelona. 

NEW: We participate in the call for Dorcas Muthoni PhD Fellowships of our Department. This call is directed to female students from African countries who want to do a PhD. If you consider to apply to work in our group, please contact us before sending your application.

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. A summary of our work is given in this talk by Ralph G. Andrzejak: Why is our nonlinear time series analysis group not linear?


Some highlights:

How we started:

The Nonlinear Time Series Analysis Group was created by its current director Dr. Andrzejak during his tenure-track appointment at the Department of Information and Communication Technologies (2007-2011). After completion of his tenure-track, Dr. Andrzejak was hired as an associate professor at this Department (2011), which allowed him to consolidate the Nonlinear Time Series Analysis Group.