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 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 infoAn Analysis of Decision under Risk in Rats
NEUROSCIENCE An Analysis of Decision under Risk in Rats AUTHORS Christine Constantinople ABSTRACT In 1979, Daniel Kahneman and Amos Tversky published a ground-breaking paper titled ‘‘Prospect Theory: An Analysis of Decision under Risk,’’ which...
More infoComputational Phenotypes of Decision Making in Heroin Addiction
NEUROSCIENCE Computational Phenotypes of Decision Making in Heroin Addiction AUTHORS: Anna B Konova, Silvia Lopez-Guzman, John Rotrosen, Stephen Ross and Paul W Glimcher. ABSTRACT Decision-making is strongly affected by drugs of abuse. The...
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More infoEvidence demonstrating working memory limitations in human decision-making
NEUROSCIENCE Evidence demonstrating working memory limitations in human decision-making ABSTRACT If you were asked to evaluate the lottery [0.8765 probability of $99.98 or 0.1235 probability of $53.46], you will likely “edit” the numbers by...
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 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 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...
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