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More infoThe bounded log-odds model of frequency and probability distortion
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 infoEconomic decision-making in Drosophila larvae
NEUROSCIENCE Economic decision-making in Drosophila larvae ABSTRACT The goal of this project is two-fold. First, we use tools from microeconomics to characterize the choices of wild type Drosophila larvae as they tradeoff goods (dark and food) in...
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Learning 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 infoEffects of brain lesions on perceptual confidence
NEUROSCIENCE Effects of brain lesions on perceptual confidence ABSTRACT Insight in decision-making refers to the accurate appraisal of one’s skills and capabilities. The neural basis of insight is poorly understood. In this study we found that...
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Discover the natural beauty & resorces of City’s outdoors
More infoWinter is coming: detecting and exploiting period changes in probability
NEUROSCIENCE Winter is coming: detecting and exploiting period changes in probability ABSTRACT Summer and winter, day and night: periodic change is abundant in the natural environment. We examine whether people can detect and exploit period...
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Geef mij maar Amsterdam
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More infoTesting the DDM: A Behavioral Experiment to Measure Evidence Accumulation During Decision Making
ECONOMICS Testing the DDM: A Behavioral Experiment to Measure Evidence Accumulation During Decision MakingAUTHORS: Stefan F. Bucher and Paul W. Glimcher OBJECTIVE Drift-diffusion models (DDM) have had empirical success in fitting choice and...
More infoA Bayesian model of insight
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...
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