Niek Stevenson

This study merges five fMRI datasets using a novel aggregatory method to analyze subcortical BOLD responses in the stop-signal paradigm, finding large subcortical activity for failed stops and highlighting the impact of smoothing on GLMs.

This study uses joint models to analyze human subcortical contributions to choice and learning, finding subcortical regions involved in decision urgency and reward prediction error processing.

This paper introduces a new reinforcement learning-error accumulation model (RL-ARD) that better captures response time dynamics in instrumental learning tasks compared to existing models.