Computational modeling of behavior has revolutionized psychology and neuroscience. By
fitting models to experimental data we can probe the algorithms underlying behavior, find …

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

Psychological sciences have identified a wealth of cognitive processes and behavioral
phenomena, yet struggle to produce cumulative knowledge. Progress is hamstrung by …

Reinforcement learning and decision-making (RLDM) provide a quantitative framework and
computational theories with which we can disentangle psychiatric conditions into the basic …

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

Computational modeling is now ubiquitous in psychology, and researchers who are not
modelers may find it increasingly difficult to follow the theoretical developments in their field …

In recent decades, intellectual property rights (IPR) and their macroeconomic effects have
attracted considerable attention from both policymakers and academics. Despite a …

Perceptual choices depend not only on the current sensory input but also on the behavioral
context, such as the history of one's own choices. Yet, it remains unknown how such history …

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

Decisions are often made by accumulating ambiguous evidence over time. The brain's
arousal systems are activated during such decisions. In previous work in humans, we found …