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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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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 infoCognitive Control Mode Predicts Behavioral Expression of Model-Based Reinforcement-Learning
NEUROSCIENCE Cognitive Control Mode Predicts Behavioral Expression of Model-Based Reinforcement-Learning ABSTRACT A converging body of work suggests that cognitive control operates via two distinct operating modes – proactive control and reactive...
More infoDr. Kenway Louie is a guest on WPR’s Joy Cardin Show
Dr. Kenway Louie is a guest on WPR’s Joy Cardin Show Dr. Kenway Louie, Ph.D., Research Assistant Professor of Neural Science at NYU’s Center for Neural Science (CNS), was interviewed by Wisconsin Public Radio (an NPR affiliate) on the Joy Cardin...
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 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 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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