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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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 infoSuboptimal Criterion Learning in Static and Dynamic Environments
NEUROSCIENCE Suboptimal Criterion Learning in Static and Dynamic Environments AUTHORS: LElyse H. Norton, Stephen M. Fleming, Nathaniel D. Daw, and Michael S. Landy ABSTRACT Humans often make decisions based on uncertain...
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More infoDynamic estimation of task-relevant variance in movement under risk
NEUROSCIENCE Dynamic estimation of task-relevant variance in movement under risk AUTHORS: Michael Landy, Julia Trommershäuser, Nathaniel Daw ABSTRACT Humans take into account their own movement variability as well as potential consequences...
More infoDynamical analysis of value coding
NEUROSCIENCE Dynamical analysis of value coding ABSTRACT Information coding in the brain is often viewed in terms of equilibrium levels of activity, but neural circuits exhibit marked temporal dynamics during the decision process. Significant...
More infoNeuroanatomy accounts for age-related changes in risk preferences
NEUROSCIENCE Neuroanatomy accounts for age-related changes in risk preferences AUTHORS: Paul Glimcher, Michael A. Grubb, Agnieszka Tymula, Sharon Gilaie-Dotanand Ifat Levy ABSTRACT Many decisions involve uncertainty, or...
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