Reinforcement learning is a theoretical framework that describes how agents learn to select
options that maximize rewards and minimize punishments over time. We often make …

When choosing between options, we must associate their values with the actions needed to
select them. We hypothesize that the brain solves this binding problem through neural …

The ventrolateral prefrontal cortex (VLPFC) shows robust activation during the perception of
faces and voices. However, little is known about what categorical features of social stimuli …

Reinforcement learning (RL) is a theoretical framework that describes how agents learn to
select options that maximize rewards and minimize punishments over time. We often make …

In daily life, we must recognize others' emotions so we can respond appropriately. This
ability may rely, at least in part, on neural responses similar to those associated with our own …

Basal ganglia process diverse values from various modalities using limited resources,
necessitating efficient processing. This involves converging tactile and visual information …

To humans, nearly everything is classifiable: whether as big or small, edible or poisonous,
righteous or unjust. Similarly, classification is a central task in many machine learning …

Adapting goal-directed behavior to changing environments (cognitive flexibility) depends on
the mammalian prefrontal cortex. In mice, Parvalbumin-positive inhibitory interneurons …