NEUROSCIENCE The role of the Hippocampus in reinforcement learning ABSTRACT The idea that there are parallel learning and decision-making systems in the brain is ubiquitous in neuroscience, where a division is often made between systems that...
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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 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 infoForaging, serial decision making and the opportunity cost of time
NEUROSCIENCE Foraging, serial decision making and the opportunity cost of time ABSTRACT We have an ongoing series of studies that use a patch-foraging paradigm from ecology in order to investigate how individuals make serial (stop/search)...
More infoDecision Making under Stress: acute stress influences how we learn to trust others
NEUROSCIENCE Decision Making under Stress: acute stress influences how we learn to trust others ABSTRACT Stress—a ubiquitous part of everyday life—can affect our daily decisions. We explore how acute stress changes choice behavior in a trust...
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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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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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