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