Vincent Y. Man

This study investigates how the brain represents and computes values of subgoals during hierarchical decision-making using fMRI and reinforcement learning models.

This study investigates the neural basis of habit formation by analyzing brain activity during goal-directed response switching, identifying key brain regions and their interactions.

The paper uses fMRI decoding to show that neural activity in the posterior putamen during learning predicts individual differences in habit versus goal-directed behavior across multiple cohorts.

The paper investigates how the brain computes flexible value representations for complex stimuli based on context, showing distinct neural encoding of attributes and integrated value in prefrontal cortex.

This study uses iEEG to show how reward and risk computations are temporally organized in the human brain, revealing cascading and parallel encoding patterns.

This study investigates how novelty and uncertainty influence exploration vs. exploitation in the human brain using a novel task and computational modeling.

The paper reports increased neural similarity from posterior to anterior hippocampus in humans using fMRI, suggesting a shift from global to local representation along the hippocampal axis.

The paper investigates how contextual and cue information influence value-based choices using EEG and a computational model, showing that contextual loss-related attributes drive behavior through gamma frequency neural activity.

The paper isolates neural activity related to decision-making in a gambling task and demonstrates that the ventral striatum mediates the relationship between expected value and choice.