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NEUROSCIENCE Neural dynamics of decision confidence ABSTRACT Previous studies in non-human primates have revealed neural activity in the parietal and prefrontal cortex that correlates with the animal’s confidence after a decision has been made...
More infoThe HUMAN Project at the 39th MCC Annual 3rd Avenue Community Benefit Festival The HUMAN Project team held a booth on Sunday, September 11th from 10AM to 6PM at the 39th MCC Annual Third Avenue Community Benefit Festival. The festival ran...
More infoResearchers Uncover the Neurobiological Basis For Risk Aversion as We Age December 13, 2016 New research out of NYU’s Institute for the Interdisciplinary Study of Decision Making (NYU IISDM) shows how age itself is not the determining factor in...
More infoNEUROSCIENCE 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...
More infoDiscover the natural beauty & resorces of City’s outdoors
More infoInterested in what makes people tick? Or do you want to work in a vibrant educational environment where no matter what you do you are sure to learn new things? ISDM is working to understand the roots of human behavior and decision making and...
More infoNEUROSCIENCE 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 infoECONOMICS 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 infoNEUROSCIENCE 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 infoNEUROSCIENCE 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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