Sean R. O’Bryan

The paper investigates whether spatial or feature-based working memory capacity predicts learning in visuomotor adaptation tasks, finding domain-specific associations.

The paper develops a hybrid computational model of the inverse base rate effect and uses fMRI to show that dissimilarity-based processing contributes to the effect, with activation patterns in left rostrolateral prefrontal cortex tracking model predictions.

The paper investigates neural mechanisms of stopping information search in self-paced learning, finding increased rule-relevant activation and vmPFC engagement correlates with accurate stopping decisions.