There is and has been a fruitful flow of concepts and ideas between studies of learning in
biological and artificial systems. Much early work that led to the development of …

We review the current state of knowledge on the computational and neural mechanisms of
reinforcement-learning with a particular focus on fronto-striatal circuits. We divide the …

Reinforcement learning allows organisms to predict future outcomes and to update their
beliefs about value in the world. The dorsal-lateral prefrontal cortex (dlPFC) integrates …

Reinforcement learning (RL) is the behavioral process of learning the values of actions and
objects. Most models of RL assume that the dopaminergic prediction error signal drives …

Delusions are, by popular definition, false beliefs that are held with certainty and resistant to
contradictory evidence. They seem at odds with the notion that the brain at least …

Decisions are made with different degrees of consistency, and this consistency can be
linked to the confidence that the best choice has been made. Theoretical work suggests that …

Reinforcement learning (RL) theories posit that dopaminergic signals are integrated within
the striatum to associate choices with outcomes. Often overlooked is that the amygdala also …

The basal ganglia (BG) contribute to reinforcement learning (RL) and decision-making, but
unlike artificial RL agents, it relies on complex circuitry and dynamic dopamine modulation …

The direct and indirect pathways of the basal ganglia have long been thought to mediate
behavioral promotion and inhibition, respectively. However, this classic dichotomous model …

The ability to learn about other people is crucial for human social functioning. Dopamine has
been proposed to regulate the precision of beliefs, but direct behavioural evidence of this is …