NEUROSCIENCE Estimating the perceptual decisions of others ABSTRACT An important corollary of a Bayesian model of insight is that this model can be applied to estimate confidence in others’ decisions, assigning a degree of responsibility to other...
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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 HUMAN Project at the 39th MCC Annual 3rd Avenue Community Benefit Festival
The 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...
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NEUROSCIENCE Neuroeconomic Models for Choice Behaviour ABSTRACT My research explores models of economic choice behaviour that gain insight from the neural processes underlying decision. I attempt to draw connections between modelling at the level...
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NEUROSCIENCE 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...
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NEUROSCIENCE Emotion and decision making under uncertainty ABSTRACT Different forms and degrees of uncertainty, such as risk (known probabilities) and ambiguity (unknown probabilities), create quantitatively different signals about choice...
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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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