Steering Committee

The Steering Committee

The CIN is overseen by a steering committee (SC) consisting of nine members, elected by the CIN members. It comprises the chairperson, the deputy chairperson, five CIN scientists, one university member from a scientific field that does not overlap with any of the CIN areas of research, and a representative of the office of the university rector. A central office, led by an executive officer, assists the chairperson and the steering committee and manages the day-to-day administration of the CIN. Over the years the SC's focus has switched from appointing selection committees and recruiting junior research group leaders and professors, to establishing the central  structures and to fostering scientific interaction among CIN members through the distribution of funding for pool projects and events such as conferences and workshops.

Chairman Prof. Dr. Hans-Peter Thier
Deputy Chairman Prof. Dr. Heinrich Bülthoff

Members of the CIN Steering Committee

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 Members, 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.