NEUROSCIENCE Estimating the perceptual decisions of others ABSTRACT An important corollary of a Bayesian model of insight is that this model can be applied to estimate confidence in others’ decisions, assigning a degree of responsibility to other...
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NEUROSCIENCE Modeling and Measuring Costs of Learning ABSTRACT Theoretical and experimental research is ongoing on models of imperfect perception and how it is impacted by the incentive to learn. The project provides new characterizations of the...
More infoThe neural coding of value information
NEUROSCIENCE The neural coding of value information ABSTRACT The neural coding of value information is critical to the decision process, guiding the choice between potential options and bridging the gap between sensation and action. We have...
More infoEfficient coding in decision circuits
NEUROSCIENCE Efficient coding in decision circuits ABSTRACT A fundamental feature of neurobiological systems is adaptive coding, where neural activity reflects the recent history of information processing. Such adaptation is thought to be...
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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More infoThinking 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...
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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