Author page: isdm

NEUROSCIENCE Emotion and decision making under uncertainty ABSTRACT Different forms and degrees of uncertainty, such as risk (known probabilities) and ambiguity (unknown probabilities), create quantitatively different signals about choice...

NEUROSCIENCE Learning the probability of success in a simple motor task from sequences of success and failure ABSTRACT Successful decision making depends on accurate knowledge of probabilities of outcomes: should I really try to climb that sheer...

NEUROSCIENCE Cognitive Control Mode Predicts Behavioral Expression of Model-Based Reinforcement-Learning ABSTRACT A converging body of work suggests that cognitive control operates via two distinct operating modes – proactive control and reactive...

NEUROSCIENCE A Bayesian model of insight ABSTRACT We are building a computational model of insight. The core of this model permits actions to dissociate from intentions. Our model provides a Bayesian “definition” of insight as the probability...