Bilal A. Bari

This study investigates how mice and monkeys adjust to different types of uncertainty in reward environments using choice data and reinforcement learning models.

This study shows that serotonin neurons in mice track uncertainty during learning tasks and modulate learning rates accordingly.

The paper introduces entropy-based metrics to predict choice behavior in mice and monkeys, explaining 50% and 41% of matching variance, and develops a more accurate model based on these metrics.

The paper examines the temporal relationships between locus coeruleus spiking, somatosensory cortex activity, and pupil diameter in mice during a tactile detection task, finding that pupil diameter is not a reliable stationary index of LC activity.

This study identifies RPE signals in the ventral pallidum that predict task engagement and influence reward-seeking behavior in rats.

The paper shows that punishment history affects corticothalamic responses to relevant stimuli, leading to biased behavior in mice.