NEUROSCIENCE The bounded log-odds model of frequency and probability distortion ABSTRACT People systematically distort probability and frequency information in decision-making and in many other perceptual, motor and cognitive tasks. We show that...
More infoLearning the probability of success in a simple motor task from sequences of success and failure
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...
More infoGoods & Actions, Model-based and Model-free
NEUROSCIENCE Goods & Actions, Model-based and Model-free ABSTRACT Two parallel lines of research have begun to identify the neural correlations and mechanisms underlying decision-making and learning. One line has focused on the distinction...
More infoRestoring Justice: Punishing on behalf of another, but not for oneself
NEUROSCIENCE Restoring Justice: Punishing on behalf of another, but not for oneself ABSTRACT Classic social psychology and experimental economic studies argue that punishment is the ubiquitous response to violations of fairness norms. We...
More infoPupil dilation contributes to insight in decision-making
NEUROSCIENCE Pupil dilation contributes to insight in decision-making ABSTRACT Insight in decision-making refers to the accurate appraisal of one’s skills and capabilities. In this study we found that participants who had better insight...
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More infoWe’re In This Together: How Sellers, Social Values, and Relationship Norms Influence Consumer Payments in Pay-What-You-Want Contexts,” under revision for second review at Journal of Marketing.
NEUROSCIENCE We’re In This Together: How Sellers, Social Values, and Relationship Norms Influence Consumer Payments in Pay-What-You-Want Contexts,” under revision for second review at Journal of Marketing. ABSTRACT We add to the prior research on...
More infoCriterion learning for perceptual decisions under uncertainty
NEUROSCIENCE Criterion learning for perceptual decisions under uncertainty ABSTRACT Signal detection theory posits that observers set a fixed criterion in making a forced-choice decision based on noisy sensory information. How is that criterion...
More infoCognitive Control Mode Predicts Behavioral Expression of Model-Based Reinforcement-Learning
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...
More infoNew Research from NYU, Princeton and UCL Researchers Published in PLoS Computational Biology
New Research from NYU, Princeton and UCL Researchers Published in PLoS Computational Biology February 16, 2017 The decisions we make are only as good as the information we base those decisions off of, but a lot of that information comes to us via...
More infoSuboptimal Criterion Learning in Static and Dynamic Environments
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...
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