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...
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 infoThe Measurement of Subjective Value and Its Relation to Contingent Valuation and Environmental Public Goods
NEUROSCIENCE The Measurement of Subjective Value and Its Relation to Contingent Valuation and Environmental Public Goods AUTHORS: ABSTRACT Environmental public goods—including national parks, clean air/water, and ecosystem services—provide...
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 infoNYU ISDM TEST
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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 infoSuboptimal decision criteria are predicted by subjectively weighted probabilities and rewards
NEUROSCIENCE Suboptimal decision criteria are predicted by subjectively weighted probabilities and rewards ABSTRACT Subjects performed a visual detection task with varied probability of target occurrence and rewards. To maximize monetary gain...
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...
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 infoThe neural coding of value information
NEUROSCIENCE The neural coding of value information ABSTRACT The neural coding of value information is critical to the decision process, guiding the choice between potential options and bridging the gap between sensation and action. We have...
More infoAcute Stress and Reinforcement Learning
NEUROSCIENCE Acute Stress and Reinforcement Learning ABSTRACT The physiological response evoked by short-lived stressful events, referred to as acute stress, impacts human decision-making. Past studies assume that stress causes people to fall...
More infoCalling All Grad Students!
Calling All Grad Students! Attention Graduate students and faculty at the start of your careers: Looking for a summer program or to expand your horizons? There will be a 2nd Summer Institute in Social-Science Genomics based in Santa Barbara...
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