Stefan Klanke

Some time ago, I left academia. I now work in industry and live in good old Germany again.

In my last academic job, I worked as a scientific programmer / PostDoc at the Donders Centre for Cognitive Neuroimaging in Nijmegen (NL), where my main task was to implement real-time streaming of fMRI data.

Previously I worked as a postdoctoral research fellow with the Statistical Machine Learning and Motor Control Group at the Institute of Perception, Action and Behaviour, University of Edinburgh. I studied computer science at the University of Bielefeld, where I also did my PhD with the Neuroinformatics Group, Faculty of Technology under the supervision of Helge Ritter.

My research interests are fairly broad and include non-parametric regression, dimensionality reduction and manifold learning, robotics, and learning for control.

If you'd like to contact me, please use sk@sklanke·de.



If you are looking for an incremental online regression algorithm, you might want to try Locally Weighted Projection Regression (LWPR), which fits multiple local linear models to your training data. As one of the deliverables of the SENSOPAC project, I have implemented that algorithm in plain C, with comfortable bindings and wrappers for Matlab, Python, and C++. The software package was one of the first to be accepted for the new JMLR track on open source (MLOSS). You can get it from the project page or directly from

While working in Nijmegen, I contributed various bits of code to Fieldtrip, a free Matlab toolkit for analysing neurophysiological data.

During my PhD studies I have written a Matlab toolbox for Unsupervised Kernel Regression (UKR), a method for nonlinear dimension reduction and manifold learning. If you want to give it a try, please use the following link.

UKR toolbox Version 2b (2007/04/05)

I've tested the software with Matlab v6.5 running on Windows and Linux. Feedback, comments, and bug reports are much appreciated.


Journal Papers

Conference Proceedings

Book Chapters

Workshop Contributions and Posters

PhD and Diploma Thesis