NEUROSCIENCE Interoception and Decision-Making ABSTRACT Studies on the roles of emotion in decision-making have highlighted a powerful role for emotions in influencing choices. The source of the individual differences in emotional responses, and...
More infoPropranolol and Loss Aversion
NEUROSCIENCE Propranolol and Loss Aversion ABSTRACT Previous work has suggested that arousal responses to gain and loss outcomes are related to loss aversion in participants’ choices. Though these previous data are correlational, they suggest a...
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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...
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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 infoRole of non-monetary incentives in decision making
NEUROSCIENCE Role of non-monetary incentives in decision making ABSTRACT People show age-related changes in decision-making. Therefore, we want to investigate the correlation between the brain structures and the generalized axiom of revealed...
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More infoCalling All Grad Students!
Calling All Grad Students! Attention Graduate students and faculty at the start of your careers: Looking for a summer program or to expand your horizons? There will be a 2nd Summer Institute in Social-Science Genomics based in Santa Barbara...
More infoSuboptimal decision criteria are predicted by subjectively weighted probabilities and rewards
NEUROSCIENCE Suboptimal decision criteria are predicted by subjectively weighted probabilities and rewards ABSTRACT Subjects performed a visual detection task with varied probability of target occurrence and rewards. To maximize monetary gain...
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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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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