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...
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 infoCortical computations underlying decision-making
NEUROSCIENCE Cortical computations underlying decision-making ABSTRACT Relative value coding is governed by divisive normalization, a computational algorithm widely described in sensory cortices, suggesting a common cortical mechanism for...
More infoDecision Making under Stress: acute stress influences how we learn to trust others
NEUROSCIENCE Decision Making under Stress: acute stress influences how we learn to trust others ABSTRACT Stress—a ubiquitous part of everyday life—can affect our daily decisions. We explore how acute stress changes choice behavior in a trust...
More infoAn Analysis of Decision under Risk in Rats
NEUROSCIENCE An Analysis of Decision under Risk in Rats AUTHORS Christine Constantinople ABSTRACT In 1979, Daniel Kahneman and Amos Tversky published a ground-breaking paper titled ‘‘Prospect Theory: An Analysis of Decision under Risk,’’ which...
More infoCriterion 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 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 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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More infoTesting the DDM: A Behavioral Experiment to Measure Evidence Accumulation During Decision Making
ECONOMICS Testing the DDM: A Behavioral Experiment to Measure Evidence Accumulation During Decision MakingAUTHORS: Stefan F. Bucher and Paul W. Glimcher OBJECTIVE Drift-diffusion models (DDM) have had empirical success in fitting choice and...
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)...
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