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Prof. Dr. Matthias Bethge

Organization: Werner Reichardt Centre for Integrative Neuroscience


Otfried-Mueller-Str. 25
72076 Tübingen

Phone number: +49 (0)7071 29-89017

Department: CIN Computational Neuroscience

Position: Head of Research Group

Area: CIN Staff, Steering Committee

Scientific topic: Computational Vision and Neuroscience

Field of Research

Our research is dedicated to the understanding of how the brain uses population codes and distributed information processing in order to make sense of its high-dimensional sensory input. In particular, we seek to unravel principles underlying the formation of neural representations in the early visual system and their computational role for perception of natural images. To this end, we addresses the problem of perceptual inference from natural images and its neural basis at different levels: Natural image statistics, Neural population coding, and Psychophysics.


We use mathematical methods such as statistical inference and learning theory, as well as signal processing, nonlinear dynamics and optimization theory. In addition, we perform psychophysical experiments.


computational neuroscience; neural coding; theoretical neuroscience; visual perception; visual system

  1. Ecker AS, Berens P, Keliris GA, Bethge M, Logothetis NK, Tolias AS (2010). Decorrelated neuronal firing in cortical microcircuits. Science. 327(5965):584-7.
  2. Gerwinn S, Macke JH, Bethge M (2009). Bayesian population decoding of spiking neurons. Front Comput Neurosci. 3:21.
  3. Eichhorn J, Sinz F, Bethge M (2009). Natural image coding in V1: How much use is orientation selectivity? PLoS Comput Biol. 5(4):e1000336.