NEUROSCIENCE Modeling and Measuring Costs of Learning ABSTRACT Theoretical and experimental research is ongoing on models of imperfect perception and how it is impacted by the incentive to learn. The project provides new characterizations of the...
More infoMeasuring people’s internal models of motor error distribution
NEUROSCIENCE Measuring people’s internal models of motor error distribution ABSTRACT A good decision maker in perception and action (e.g. a good surgeon) needs to allow for the irreducible errors in her own movement. In simple reaching tasks, the...
More infoCostly information sampling
NEUROSCIENCE Costly information sampling ABSTRACT Theories of optimal information sampling assert that the decision to gather information should take into account accrual costs: time, energy, and money. This project explored how effectively...
More infoThe price of success
NEUROSCIENCE The price of success ABSTRACT How much should you pay for a better chance at success? For this project, we approached individuals in a city park and had them play a novel lottery using a small set of black and white marbles in an...
More infoEfficient coding in decision circuits
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 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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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 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 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 infoStress and Gambling
NEUROSCIENCE Social Contagion ABSTRACT Decisions are often made around other people, even if the choices themselves don’t involve and are not about others. We know surprisingly little about the role of emotions in this particular kind of...
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More infoGoods & Actions, Model-based and Model-free
NEUROSCIENCE Goods & Actions, Model-based and Model-free ABSTRACT Two parallel lines of research have begun to identify the neural correlations and mechanisms underlying decision-making and learning. One line has focused on the distinction...
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