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:

BCCN CIN MPI