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Suboptimal 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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More infoSaving 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 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...
More infoDynamic estimation of task-relevant variance in movement under risk
NEUROSCIENCE Dynamic estimation of task-relevant variance in movement under risk AUTHORS: Michael Landy, Julia Trommershäuser, Nathaniel Daw ABSTRACT Humans take into account their own movement variability as well as potential consequences...
More infoSaving the masses: The impact of perceived efficacy on charitable giving to single vs. multiple beneficiaries
NEUROSCIENCE Saving the masses: The impact of perceived efficacy on charitable giving to single vs. multiple beneficiaries AUTHORS: Professor Vicki Morwitz and Professor Eesha Sharma ABSTRACT People are more generous toward...
More infoUsing Single-Neuron Recording in Marketing: Opportunities, Challenges, and an Application to Fear Enhancement in Communications
NEUROSCIENCE Using Single-Neuron Recording in Marketing: Opportunities, Challenges, and an Application to Fear Enhancement in Communications ABSTRACT This paper introduces the method of single-neuron recording in humans to marketing and consumer...
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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...
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More infoEmotion and decision making under uncertainty
NEUROSCIENCE Emotion and decision making under uncertainty ABSTRACT Different forms and degrees of uncertainty, such as risk (known probabilities) and ambiguity (unknown probabilities), create quantitatively different signals about choice...
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