NEUROSCIENCE Cortical computations underlying decision-making ABSTRACT Relative value coding is governed by divisive normalization, a computational algorithm widely described in sensory cortices, suggesting a common cortical mechanism for...
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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...
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NEUROSCIENCE Genes, Smoking, and Health ABSTRACT Research on the impact of genes on smoking and through smoking on health. We are using the genomic Health and Retirement Survey both to confirm earlier GWAS findings on smoking and genes, and to...
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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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 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 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 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...
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More infoGoods & Actions, Model-based and Model-free
NEUROSCIENCE Goods & Actions, Model-based and Model-free ABSTRACT Two parallel lines of research have begun to identify the neural correlations and mechanisms underlying decision-making and learning. One line has focused on the distinction...
More infoEnvisioning the Improbable: Judgment and Strategy in Heavy-Tailed Contexts
NEUROSCIENCE Envisioning the Improbable: Judgment and Strategy in Heavy-Tailed Contexts ABSTRACT This multi-method research seeks to increase understanding of the judgment, behavior, and performance of individuals and organizations in...
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