Neuromodulatory systems, including the noradrenergic, serotonergic, dopaminergic, and
cholinergic systems, track environmental signals, such as risks, rewards, novelty, effort, and …

How we estimate uncertainty is important in decision neuroscience and has wide-ranging
implications in basic and clinical neuroscience, from computational models of optimality to …

Rhythm as the time structure of music is composed of distinct temporal components such as
pattern, meter, and tempo. Each feature requires different computational processes: meter …

The cognitive and neuronal mechanisms of perceptual decision making have been
successfully linked to sequential sampling models. These models describe the decision …

Impulsivity received considerable attention in the context of drug misuse and certain
neuropsychiatric conditions. Because of its great health and well-being importance, it is …

A growing trend of neuroimaging, behavioral, and computational research has investigated
the topic of outcome uncertainty in decision-making. Although evidence to date indicates …

The study of uncertainty in decision-making is receiving greater attention in the fields of
cognitive and computational neuroscience. Several lines of evidence are beginning to …

The dorsomedial prefrontal cortex (dmPFC) is consistently involved in tasks requiring the
processing of mental states, and much rarer so by tasks that do not involve mental state …

Objectives Substance use disorder (SUD) is characterized by compulsive use of addictive
substances with considerable impact on both the medical system and society as a whole …

The study of the brain's representations of uncertainty is a central topic in neuroscience.
Unlike most quantities of which the neural representation is studied, uncertainty is a property …