Course

Visual perception

Taught by P. Mamassian

The objective of this course is to give you the keys to understand the fundamental concepts in visual perception, following a multi-disciplinary approach in neuroscience, psychology and modeling. In neuroscience, the visual system is presented from the processing of the retinal image to the cortex. In the healthy adult human, we present how the visual scene is analyzed in its motion, form, color, and depth, and how attention modulates perception. From a computational point of view, the principles of neuronal coding and decoding are exposed, as well as those underlying inferential perception. Various experimental techniques are exposed, including those using signal processing and those analyzing eye movements such as pupillometry. Finally, the course presents a comparative approach of interspecies vision, from fly to human, as well as a debate on the revolution of deep learning for vision.