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...
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More infoReference-dependence in intertemporal choice
NEUROSCIENCE Reference-dependence in intertemporal choice ABSTRACT In our current study, we measure emotional arousal while individuals make decisions between smaller, immediate monetary rewards and later, larger rewards. We find that both...
More infoAn Analysis of Decision under Risk in Rats
NEUROSCIENCE An Analysis of Decision under Risk in Rats AUTHORS Christine Constantinople ABSTRACT In 1979, Daniel Kahneman and Amos Tversky published a ground-breaking paper titled ‘‘Prospect Theory: An Analysis of Decision under Risk,’’ which...
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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 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 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 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...
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More infoChoice-theoretic foundations of the divisive normalization model
NEUROSCIENCE Choice-theoretic foundations of the divisive normalization model AUTHORS: Kai Steverson, Adam Brandenburger, and Paul Glimcher ABSTRACT In “Choice-theoretic foundations of the divisive normalization model” (just published in...
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