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Estimating the perceptual decisions of others
NEUROSCIENCE Estimating the perceptual decisions of others ABSTRACT An important corollary of a Bayesian model of insight is that this model can be applied to estimate confidence in others’ decisions, assigning a degree of responsibility to other...
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...
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More infoForaging, serial decision making and the opportunity cost of time
NEUROSCIENCE Foraging, serial decision making and the opportunity cost of time ABSTRACT We have an ongoing series of studies that use a patch-foraging paradigm from ecology in order to investigate how individuals make serial (stop/search)...
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More infoEfficient coding in decision circuits
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...
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...
More infoProjection Bias
NEUROSCIENCE Projection Bias ABSTRACT Projection bias is exemplified by the “shopping while hungry” phenomenon, in which people overbuy at the supermarket when they’re hungry, incorrectly anticipating the kinds and amount of food they’ll want...
More infoEnvisioning the Improbable: Judgment and Strategy in Heavy-Tailed Contexts
NEUROSCIENCE Envisioning the Improbable: Judgment and Strategy in Heavy-Tailed Contexts ABSTRACT This multi-method research seeks to increase understanding of the judgment, behavior, and performance of individuals and organizations in...
More infoChoice-theoretic foundations of the divisive normalization model
NEUROSCIENCE Choice-theoretic foundations of the divisive normalization model AUTHORS: Kai Steverson, Adam Brandenburger, and Paul Glimcher ABSTRACT In “Choice-theoretic foundations of the divisive normalization model” (just published in...
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