Nina Raduner

The paper identifies distinct neurocomputational mechanisms for multisensory learning using a novel task and fMRI, showing dissociable networks for statistical learning, reinforcement learning, and outcome surprise.

This study examines age-related changes in multisensory learning using behavioral, neuroimaging, and computational methods in children, finding faster processing and stronger neural engagement in older children.