Humans do not integrate new information objectively: outcomes carrying a positive affective
value and evidence confirming one's own prior belief are overweighed. Until recently …

The real world is uncertain, and while ever changing, it constantly presents itself in terms of
new sets of behavioral options. To attain the flexibility required to tackle these challenges …

Regulating how fast to learn is critical for flexible behavior. Learning about the
consequences of actions should be slow in stable environments, but accelerate when that …

Animals and humans evolved sophisticated nervous systems that endowed them with the
ability to form internal-models or beliefs and make predictions about the future to survive and …

Humans learn from their own trial-and-error experience and observing others. However, it
remains unknown how brain circuits compute expected values when direct learning and …

Little is known about how the brain computes the perceived aesthetic value of complex
stimuli such as visual art. Here, we used computational methods in combination with …

A long-lasting challenge in neuroscience has been to find a set of principles that could be
used to organize the brain into distinct areas with specific functions. Recent studies have …

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 …

Subjective well-being or happiness is often associated with wealth. Recent studies suggest
that momentary happiness is associated with reward prediction error, the difference between …

Frontal and parietal cortex are implicated in economic decision-making, but their causal
roles are untested. Here we silenced the frontal orienting field (FOF) and posterior parietal …