NEUROSCIENCE Measuring people’s internal models of motor error distribution ABSTRACT A good decision maker in perception and action (e.g. a good surgeon) needs to allow for the irreducible errors in her own movement. In simple reaching tasks, the...
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Criterion 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 infoInteroception and Decision-Making
NEUROSCIENCE Interoception and Decision-Making ABSTRACT Studies on the roles of emotion in decision-making have highlighted a powerful role for emotions in influencing choices. The source of the individual differences in emotional responses, and...
More infoDecision-Making Across the Life Span
NEUROSCIENCE Decision-Making Across the Life Span ABSTRACT Characterizing behavioral changes in decision-making across the life span and understanding why they occur has significant implications for behavioral problems associated with poor...
More infoThe neural coding of value information
NEUROSCIENCE The neural coding of value information ABSTRACT The neural coding of value information is critical to the decision process, guiding the choice between potential options and bridging the gap between sensation and action. We have...
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More infoGenes, Smoking, and Health
NEUROSCIENCE Genes, Smoking, and Health ABSTRACT Research on the impact of genes on smoking and through smoking on health. We are using the genomic Health and Retirement Survey both to confirm earlier GWAS findings on smoking and genes, and to...
More infoRational Imprecision: Information Processing, Neural, and Choice-Rule Perspectives
NEUROSCIENCE Rational Imprecision: Information Processing, Neural, and Choice-Rule Perspectives AUTHORS: Kai Steverson, Adam Brandenburger, and Paul Glimcher ABSTRACT People make mistakes. A rationally imprecise decision...
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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 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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