Differentiating mispredicted-predicted and unpredicted-predicted transitions in human auditory cortex

Human brain creates rapidly predictions of the surrounding environment. The predictive coding model proposes that the brain actively supports perception by constantly attempting to match predictions and sensory inputs in minimizing prediction error in the system.  

The purpose of this project is to understand how these predictions are formed. MEG is measured from healthy adults while they are listening to tone series that occasionally violate previous predictions of the auditory environment.

Funding

• Faculty of Social Sciences, University of Jyväskylä, Finland

Project team

• Assistant Professor Yi-Fang Hsu, Department of Educational Psychology and Counselling, National Taiwan Normal University, Taiwan
• Research Scientist, Group leader, Florian Waszak, CNRS (Laboratoire Psychologie de la Perception, UMR 8242), Université Paris Descartes, Sorbonne Paris Cité, France
• University researcher Jarmo Hämäläinen, Department of Psychology, University of Jyväskylä, Finland