CIN Members

In 2007, the CIN started with 25 principal investigators as cluster applicants, as stipulated in the DFG call for bids. When the CIN cluster was approved further  scientists from a range of institutions were incorporated, to make up the 48 'founding members' of the CIN. Since the beginning of 2014 the CIN has consisted of over 80 scientists in total. The membership process involves an application to the steering committee in which the candidate outlines his or her scientific profile and submits a list of publications. The committee's decision is based purely on the scientific excellence of each candidate.

CIN Members

Prof. Dr. Matthias Bethge

Organization: Werner Reichardt Centre for Integrative Neuroscience

Address:

Otfried-Mueller-Str. 25
72076 Tübingen
Germany

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.

Methods

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.

Keywords

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


Publications
  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.