Bringing precision to the understanding and treatment of mental disorders requires
instruments for studying clinically relevant individual differences. One promising approach is …

Cognitive tasks are capable of providing researchers with crucial insights into the
relationship between cognitive processing and psychiatric phenomena. However, many …

Computational phenotyping has emerged as a powerful tool for characterizing individual
variability across a variety of cognitive domains. An individual's computational phenotype is …

Executive function (EF) in specific learning disorders (SLD) has been investigated using
mainly cool EF tasks, whilst less is known about hot EF and theory of mind (ToM) in this …

Individuals living and working in dangerous settings (eg, first responders and military
personnel) make complex decisions amidst serious threats. However, controlled studies on …

Bayesian inference suggests that perception is inferred from a weighted integration of prior
contextual beliefs with current sensory evidence (likelihood) about the world around us. The …

Active reinforcement learning enables dynamic prediction and control, where one should not
only maximize rewards but also minimize costs such as of inference, decisions, actions, and …

Developmental executive function (EF) theories have proposed distinct domains of EF (cool
and hot) but the EF development in autism spectrum disorder (ASD) has been assessed …

Background: The Pavlovian go/no-go task is commonly used to measure individual
differences in Pavlovian biases and their interaction with instrumental learning. However …

Abstract The Iowa Gambling Task (IGT) is used to assess decision-making in clinical
populations. The original IGT does not disambiguate reward and punishment learning; …