Topic: visuo-motor predictions

Traditionally, vision has been largely treated as a bottom-up system that tries to make sense of the incoming input. However, contemporary accounts of active inference and predictive coding see the visual system as a goal-oriented system in which internal knowledge and learning fundamentally influence perception through top-down interactions. To study how internal visuo-motor predictions guide object visual processing, we combined high-density electrophysiology and a sequential learning task (N=41) in which subjects statistically learn the association between a sequence of objects (faces, scen