Werner Reichardt Centrum für Integrative Neurowissenschaften (CIN)

11.12.2020

Pressemitteilung: DFG setzt Förderung des Tübinger Forschungszentrums fort

Ziel des Collaborative Research Centre, die Prinzipien des robusten Sehens aufzudecken und seine neuronalen Grundlagen im Säugetiergehirn zu identifizieren (Press release in English only)

To this end, scientists from the University of Tübingen, the Max Planck Institute for Intelligent Systems, the Max Planck Institute for Biological Cybernetics and the LMU Munich and from various disciplines such as neuroscience, machine learning and computer vision are working closely together to investigate the differences between the biological visual system and current machine vision algorithms.

Matthias Bethge, spokesperson for the research center, is very pleased that the research program will continue to receive funding. “We are making great progress in understanding biological vision and in the field of robust machine vision. This also opens the door to the development of more reliable AI applications,” he said.

In the second funding period starting 2021, the German Research Foundation will fund 12 scientific projects, one infrastructure project and one transfer project with Zeiss Vision with total funding of over €9 million.

The CRC also includes several groups from the Institute for Ophthalmic Research (Prof. Philipp Berens, Prof. Thomas Euler, Dr. Katrin Franke, Prof. Frank Schaeffel, Prof. Katarina Stingl, Dr. Christina Schwarz and Prof. Sigfried Wahl).

Background

Human visual perception is amazingly robust: Even in highly variable environments, we are able to make reliable inferences about the spatial arrangement of the world from limited visual information. To achieve this, our brain must perform complex computations. Artificial vision systems, in turn – as used, for example, in self-driving cars – are making steep progress in reproducing the visual skills of humans. The goal of this centre will be to better understand the principles and algorithms that enable robust visual inference both in humans and machines.

Organization:

  • Werner Reichardt Centre for Integrative Neuroscience

Contact: Prof. Dr. Matthias Bethge

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