Matthias Bethge

Publications, Email, Phone: +49 7071 29 89017
Group Leader
My research goal is to understand how the brain makes sense of its high-dimensional sensory input. In particular, I seek to understand the formation of distributed neural representations in the early visual system by studying natural image statistics, unsupervised learning, and neural population coding, and by developing new data-analysis tools.

Heike König

Email, Phone: +49 7071 29 89018

Judith Lam

Email, Homepage, Phone: +49 7071 29 89019
Bernstein Coordinator
At the Bernstein Center Tübingen, scientists from various disciplines, including theoretical and experimental neurobiology, machine learning, and medicine, collaborate in order to analyze the basis of inference processes in the brain. In particular, a main research goal is to understand the coordinated interaction of neurons during information processing.

Philipp Berens

Publications, Email, Homepage
I am interested in the computations performed by neuronal ensembles in the early visual system of rodents. I work on understanding the role of different cell types in the mouse retina in processing natural scenes, in a close collaboration with the lab of Thomas Euler at CIN. In addition, I work with the lab of Andreas Tolias at Baylor College of Medicine on cortical representations of natural scenes. I teach neural data analysis and statistics at the Graduate Training Center of Neuroscience in Tuebingen. I will be on parental leave starting September 2013.

Alexander Ecker

Publications, Email, Phone: +49 7071 29 88908
The goal of my research is to understand how populations of neurons interact to process visual information. I combine multi-electrode recordings in primary visual cortex of monkeys with theoretical approaches to study population coding.

Holly Gerhard

Publications, Email, Phone: +49 7071 29 88904
I conduct psychophysical experiments to measure human visual sensitivity to the statistical structure of natural images. I am currently studying sensitivity to higher-order pixel correlations present in local neighborhoods of natural images. During my phd studies I worked on material perception and the effects of illumination in 3D scenes. I am also interested in scene perception and modeling fixation data.

Tom Wallis

Publications, Email, Homepage
How do we visually experience the world around us in a coherent way, simply from the patterns of photons hitting our retinae? While it seems effortless to us, the formation of this representation by the brain is decidedly difficult to explain. I am working with Prof. Bethge and Prof. Felix Wichmann investigating the mechanisms of visual representation using psychophysics and computational modelling.

Alexander Böttcher

Publications, Email, Phone: +49 7071 29 88905
Graduate Student
My aim is to understand how the activity of sensory neurons leads to decisions taken by the brain. In particular, I am interested in neural population coding of the primary somatosensory cortex.

Leon Gatys

Publications, Email, Phone: +49 7071 29 88907
Graduate Student
Experimental evidence suggests the possibility to encode information in the variance of neural activity. In my current research I use information theory to investigate the theoretical bounds on the coding performance of such variance channel.

Matthias Kümmerer

Publications, Email, Phone: +49 7071 29 88909
Graduate Student

Lucas Theis

Publications, Email, Phone: +49 7071 29 88910
Graduate Student
A lot of evidence from theoretical considerations and biological observations points to the fact that a good representation for natural images should be hierarchically organized. Yet, the best known models of natural images are based on what is better described as shallow representations. My research aims at resolving this discrepancy by finding better strategies for capturing the regularities found in natural images in a hierarchical manner.

Debapriya Das

Email, Phone: +49 7071 29 88906
Research Assistant

Teresa Martin

Research Assistant