Alexandre Y. Dombrovski

This study investigates how interactions between the prefrontal default-mode network and posterior hippocampus influence exploration versus exploitation in a continuous reward environment using fMRI and reinforcement learning modeling.

This study examines reward value encoding in individuals with depression and suicide attempts using fMRI during decision-making tasks, finding distinct neural patterns associated with different types of suicide attempts.

The paper shows that human dorsal stream uses reinforcement learning dynamics to manage exploration and exploitation in continuous spaces by compressing less preferred options.

The paper examines how learning signals in the default network during social exchanges support both cooperation and exploitation, linking neural activity to prosocial and antisocial behaviors.

The paper shows that the posterior hippocampus supports exploration while the anterior hippocampus supports the transition to exploitation in a reinforcement learning task.

This paper shows that selectively maintaining high-value information helps resolve the exploration/exploitation dilemma in decision-making, performing as well as uncertainty-driven exploration but with lower cognitive load.