The collaborative research center “Robust Vision – Inference Principles and Neural Mechanisms” (CRC 1233) deals with basic principles of biological and machine vision, and is a close collaboration between scientists from the University and the Max Planck Institute for Intelligent Systems. 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.
Projekt 12 Image processing within a locally complete retinal ganglion cell population (Euler, Bethge)
Projekt 13 Visual processing of feedforward and feedback signals in the dLGN (Busse, Berens)
Projekt 14 Retinal Disease Models as a Tool for Understanding Robust Vision (Stingl, Zeck, Schwarz)
Project INF (Infrastructure) A collaborative data management platform for reproducible neuroscience and machine learning (Sinz, Berens)