A 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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Costly 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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Thinking Like A Trader

NEUROSCIENCE Thinking Like A Trader ABSTRACT We know surprisingly little about the role of emotions in decision-making, and nearly nothing about how we can change those emotions, and thereby our choices. In a series of studies, we asked...

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