Daniel Yon

The paper tests an opposing process theory of perception using EEG data, showing expectation influences change over time to support both accurate perception and learning from unexpected events.

This study investigates how subjective and objective statistical structures influence perceptual predictions, finding that subjective experience primarily drives decision speed, while objective structure explains less variance.

The paper uses fMRI to show that V1 layers differently represent expected and unexpected visual stimuli, supporting predictive processing theories.

The paper investigates whether predictive mechanisms in action reduce or enhance tactile perception, finding that expected touch during action is perceived more intensely than unexpected touch.