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The 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...
More infoChoice of saccade endpoint under risk
NEUROSCIENCE Choice of saccade endpoint under risk ABSTRACT We ask whether human observers choose saccade endpoints that maximize expected gain when there are explicit rewards associated with correctly detecting the target in a visual search...
More infoThe effects of stress on aversive and appetitive conditioning and reversal
NEUROSCIENCE The effects of stress on aversive and appetitive conditioning and reversal ABSTRACT In this line of studies, we are examining how acute stress influences the way in which participants learn to assign aversive or appetitive value to...
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 infoParkinson’s Disease and Risky Monetary Decision-Making
NEUROSCIENCE Parkinson’s Disease and Risky Monetary Decision-Making ABSTRACT Dopamine is intimately involved in decision-making, but its contributions to risky choice are incompletely understood. In Parkinson’s disease, there is a selective...
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 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...
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 infoRisk preferences in New Yorkers’ everyday decisions. Correlation of risk preferences across different decision-making domains.
NEUROSCIENCE Risk preferences in New Yorkers’ everyday decisions. Correlation of risk preferences across different decision-making domains. ABSTRACT Most of the important decisions that we make in life are made under conditions of uncertainty...
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