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...
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Saving the Masses: The Role of Perceived Efficacy in Charitable Giving
NEUROSCIENCE Saving the Masses: The Role of Perceived Efficacy in Charitable Giving ABSTRACT People tend to be more sympathetic and generous to single than to multiple beneficiaries. We identify one factor—perceived efficacy—that when increased...
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...
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More infoInterrupting counterfactual representations in the lateral frontal pole
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 infoRetailer Pricing and Consumer Choice under Price Uncertainty
NEUROSCIENCE Retailer Pricing and Consumer Choice under Price Uncertainty ABSTRACT Based on the implicit assumption that consumers’ average price perceptions guide their retailer choice, previous research examined how different retailer pricing...
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...
More infoCostly information sampling
NEUROSCIENCE Costly information sampling ABSTRACT Theories of optimal information sampling assert that the decision to gather information should take into account accrual costs: time, energy, and money. This project explored how effectively...
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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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