Bornali Kundu

The paper uses deep reinforcement learning to model risk-adaptive decision-making strategies and identifies low-dimensional neural dynamics associated with high-performing strategies in humans.

The paper investigates neural bursting activity in human prefrontal and temporal brain areas during visual working memory and finds that gamma and beta bursting correlates with memory performance and is coupled via a phase-burst code.

This study examines how human neurons respond to single-pulse electrical stimulation, finding that most neurons show firing rate suppression, with differences based on cell type and stimulation distance.

The paper investigates how neuronal representations of reward and risk expectations differ between impulsive and less impulsive decision-makers during a risky choice task.