To better understand the reward circuitry in human brain, we conducted activation likelihood
estimation (ALE) and parametric voxel-based meta-analyses (PVM) on 142 neuroimaging …

Functional magnetic resonance imaging (fMRI) neurofeedback is a type of biofeedback in
which real-time online fMRI signals are used to self-regulate brain function. Since its advent …

Reinforcement learning (RL) uses sequential experience with situations (" states") and
outcomes to assess actions. Whereas model-free RL uses this experience directly, in the …

Scientists in many different fields have been attracted to the study of habits because of the
power habits have over behavior and because they invoke a dichotomy between the …

Although the involvement in the striatum in the refinement and control of motor movement
has long been recognized, recent description of discrete frontal corticobasal ganglia …

Determining whom to trust and whom to distrust is a major decision in impersonal IT-
enabled exchanges. Despite the potential role of both trust and distrust in impersonal …

Altered brain responses to alcohol-associated stimuli are a neural hallmark of alcohol-use
disorder (AUD) and a promising target for pharmacotherapy. However, findings in cue …

Our decisions are guided by information learnt from our environment. This information may
come via personal experiences of reward, but also from the behaviour of social partners …

Reinforcement learning models that focus on the striatum and dopamine can predict the
choices of animals and people. Representations of reward expectation and of reward …

Event‐related potential studies of reward processing have consistently identified the
feedback negativity (FN), an early neural response that differentiates feedback indicating …