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More infoThinking Like A Trader
NEUROSCIENCE Thinking Like A Trader ABSTRACT We know surprisingly little about the role of emotions in decision-making, and nearly nothing about how we can change those emotions, and thereby our choices. In a series of studies, we asked...
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NEUROSCIENCE A Drosophila model for studying the neuronal bases of decision-making ABSTRACT I work in the NYU Biology department in Justin Blau’s team, developing a model for decision-making in the fruitfly Drosophila. I have designed a novel...
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The 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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Interested 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 infoPupil dilation contributes to insight in decision-making
NEUROSCIENCE Pupil dilation contributes to insight in decision-making ABSTRACT Insight in decision-making refers to the accurate appraisal of one’s skills and capabilities. In this study we found that participants who had better insight...
More infoLearning the probability of success in a simple motor task from sequences of success and failure
NEUROSCIENCE Learning the probability of success in a simple motor task from sequences of success and failure ABSTRACT Successful decision making depends on accurate knowledge of probabilities of outcomes: should I really try to climb that sheer...
More infoRat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics
NEUROSCIENCE Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics AUTHORS: Alex T. Piet, Jeffrey C. Erlich, Charles D. Kopec, and Carlos D. Brody ABSTRACT Two-node attractor...
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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