Humans build internal models from online observations to adapt to new environments. Here, the authors show that individuals are biased towards building models with moderate structural complexity, rega...

From hunting to financial planning, many decisions are made under risk and alongside social partners whose decisions and outcomes are coupled with ...

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

Reinforcement learning models often ignore affect’s well-established role in shaping behavior. This study shows evidence that affective valence serves as a computational signal that tracks learning in...

Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics a...

Abstract. The capacity to represent the mental states of other individuals, known as ‘mindreading’ or ‘theory of mind’, is key to successful social predict

Anxiety is known to distort threat perception, but can it also distort the task representations we use to plan? This study shows that individuals high in trait worry systematically undergeneralize ac...

Humans routinely solve social problems by navigating densely interconnected networks—gossiping strategically, brokering across cliques, and coordin...

Diminished use of goal-directed (model-based) decision making is a hallmark of transdiagnostic compulsivity, promoting an overreliance on inflexible and habitual behaviors. However, the origin of this...

Making decisions on behalf of other people reduces decision confidence, which leads to responsibility aversion.

In both risky choice and perception, people overweight small and underweight large probabilities. While prospect theory models this with a probability weighting function, and Bayesian noisy coding mod...