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Criterion learning for perceptual decisions under uncertainty
NEUROSCIENCE Criterion learning for perceptual decisions under uncertainty ABSTRACT Signal detection theory posits that observers set a fixed criterion in making a forced-choice decision based on noisy sensory information. How is that criterion...
More infoParkinson’s Disease and Risky Monetary Decision-Making
NEUROSCIENCE Parkinson’s Disease and Risky Monetary Decision-Making ABSTRACT Dopamine is intimately involved in decision-making, but its contributions to risky choice are incompletely understood. In Parkinson’s disease, there is a selective...
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Effects of brain lesions on perceptual confidence
NEUROSCIENCE Effects of brain lesions on perceptual confidence ABSTRACT Insight in decision-making refers to the accurate appraisal of one’s skills and capabilities. The neural basis of insight is poorly understood. In this study we found that...
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 infoGenes, Smoking, and Health
NEUROSCIENCE Genes, Smoking, and Health ABSTRACT Research on the impact of genes on smoking and through smoking on health. We are using the genomic Health and Retirement Survey both to confirm earlier GWAS findings on smoking and genes, and to...
More infoNeural bases of self-control and adaptive behavior
NEUROSCIENCE Neural bases of self-control and adaptive behavior ABSTRACT Influential research suggests that exercising self-control depletes a limited cognitive resource, of unclear identity. But a slack in performance needs not invoke resource...
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 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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