Computational Vision and Neuroscience

We study the two basic questions originally posed by Hermann von Helmholtz (1867,1878):

“What are the principles that govern how the visual pathways make inferences from the visual image?
How do we use image information to compute these perceptual inferences?"

Using methods of statistical inference and learning theory, as well as signal processing, nonlinear dynamics and optimization theory, our research addresses the problem of perceptual inference from natural images and its neural basis at different levels:


Oct 10, 2013
Philipp Berens won the Klaus Tschira Award for Achievements in Public Understanding of Science for his article on the neural code (German).