Researchers Uncover the Neurobiological Basis For Risk Aversion as We Age December 13, 2016 New research out of NYU’s Institute for the Interdisciplinary Study of Decision Making (NYU IISDM) shows how age itself is not the determining factor in...
More infoChoice of saccade endpoint under risk
NEUROSCIENCE Choice of saccade endpoint under risk ABSTRACT We ask whether human observers choose saccade endpoints that maximize expected gain when there are explicit rewards associated with correctly detecting the target in a visual search...
More infoRational Imprecision: Information Processing, Neural, and Choice-Rule Perspectives
NEUROSCIENCE Rational Imprecision: Information Processing, Neural, and Choice-Rule Perspectives AUTHORS: Kai Steverson, Adam Brandenburger, and Paul Glimcher ABSTRACT People make mistakes. A rationally imprecise decision...
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More infoEvidence demonstrating working memory limitations in human decision-making
NEUROSCIENCE Evidence demonstrating working memory limitations in human decision-making ABSTRACT If you were asked to evaluate the lottery [0.8765 probability of $99.98 or 0.1235 probability of $53.46], you will likely “edit” the numbers by...
More infoMeasuring people’s internal model of motor error distribution
NEUROSCIENCE Measuring people’s internal model of motor error distribution ABSTRACT A good decision maker in perception and action (e.g. a good surgeon, a good basketball player) needs to compensate for the irreducible errors in her own movement...
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 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...
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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