Ali Mahmoodi

The paper shows that human dorsal raphe nucleus activity signals changes in behavioural policy based on environmental reward value, while dACC and AI track relative reward value.

The paper demonstrates that the human hippocampus is causally necessary for structure-based inference in learning through neuroimaging, computational modeling, and stimulation experiments.

The paper identifies hippocampus and dorsomedial prefrontal cortex as regions involved in inferring and updating latent causes during social interaction using fMRI and computational modeling.

This study shows that the dorsal raphe nucleus (DRN) in monkeys influences transitions between high and low motivation states based on reward availability.

This study identifies distinct neural mechanisms for informational and normative conformity using fMRI during a social decision-making task.

The paper identifies a brain region in Rhesus macaques that shows computational properties similar to the human temporo-parietal junction, modulated by social interaction predictability.