NEUROSCIENCE Interrupting counterfactual representations in the lateral frontal pole ABSTRACT I am collaborating with researchers at Oxford University who have discovered that the lateral frontal pole displays a unique connectivity profile in...
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 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 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 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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More infoThe MINY Van Project
NEUROSCIENCE The MINY Van Project ABSTRACT Research on household financial decisions using a newly-constituted Vanguard Research Institute Panel. The project models and measures wealth accumulation, asset holding, health, long term care, and...
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More infoStress and Gambling
NEUROSCIENCE Social Contagion ABSTRACT Decisions are often made around other people, even if the choices themselves don’t involve and are not about others. We know surprisingly little about the role of emotions in this particular kind of...
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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