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 infoRestoring Justice: Punishing on behalf of another, but not for oneself
NEUROSCIENCE Restoring Justice: Punishing on behalf of another, but not for oneself ABSTRACT Classic social psychology and experimental economic studies argue that punishment is the ubiquitous response to violations of fairness norms. We...
More infoSaving the masses: The impact of perceived efficacy on charitable giving to single vs. multiple beneficiaries
NEUROSCIENCE Saving the masses: The impact of perceived efficacy on charitable giving to single vs. multiple beneficiaries AUTHORS: Professor Vicki Morwitz and Professor Eesha Sharma ABSTRACT People are more generous toward...
More infoDynamical analysis of value coding
NEUROSCIENCE Dynamical analysis of value coding ABSTRACT Information coding in the brain is often viewed in terms of equilibrium levels of activity, but neural circuits exhibit marked temporal dynamics during the decision process. Significant...
More infoUnderstanding the interaction between fear and choice behavior in psychiatric disorders
NEUROSCIENCE Understanding the interaction between fear and choice behavior in psychiatric disorders ABSTRACT Recent evidence suggests that the excessive formation of habits plays an important role in a number of psychiatric disorders, including...
More infoNeuroeconomic Models for Choice Behaviour
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...
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...
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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 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...
More infoNeuroanatomy accounts for age-related changes in risk preferences
NEUROSCIENCE Neuroanatomy accounts for age-related changes in risk preferences AUTHORS: Paul Glimcher, Michael A. Grubb, Agnieszka Tymula, Sharon Gilaie-Dotanand Ifat Levy ABSTRACT Many decisions involve uncertainty, or...
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