Author page: isdm

NEUROSCIENCE Suboptimal Criterion Learning in Static and Dynamic Environments AUTHORS:  LElyse H. Norton, Stephen M. Fleming, Nathaniel D. Daw, and Michael S. Landy ABSTRACT Humans often make decisions based on uncertain...

NEUROSCIENCE Efficient coding in decision circuits ABSTRACT A fundamental feature of neurobiological systems is adaptive coding, where neural activity reflects the recent history of information processing. Such adaptation is thought to be...

NEUROSCIENCE Acute Stress and Reinforcement Learning ABSTRACT The physiological response evoked by short-lived stressful events, referred to as acute stress, impacts human decision-making. Past studies assume that stress causes people to fall...

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 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...