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 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 infoDecision-Making Across the Life Span
NEUROSCIENCE Decision-Making Across the Life Span ABSTRACT Characterizing behavioral changes in decision-making across the life span and understanding why they occur has significant implications for behavioral problems associated with poor...
More infoGoods & Actions, Model-based and Model-free
NEUROSCIENCE Goods & Actions, Model-based and Model-free ABSTRACT Two parallel lines of research have begun to identify the neural correlations and mechanisms underlying decision-making and learning. One line has focused on the distinction...
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More infoThe bounded log-odds model of frequency and probability distortion
NEUROSCIENCE The bounded log-odds model of frequency and probability distortion ABSTRACT People systematically distort probability and frequency information in decision-making and in many other perceptual, motor and cognitive tasks. We show that...
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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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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 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...
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