NEUROSCIENCE Retailer Pricing and Consumer Choice under Price Uncertainty ABSTRACT Based on the implicit assumption that consumers’ average price perceptions guide their retailer choice, previous research examined how different retailer pricing...
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 infoInsight and addiction
NEUROSCIENCE Insight and addiction ABSTRACT Previous studies have suggested impairments in insight in neuropsychiatric disorders. However it is often difficult to distill impairments in insight from other cognitive impairments. Together with...
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 infoEffects of brain lesions on perceptual confidence
NEUROSCIENCE Effects of brain lesions on perceptual confidence ABSTRACT Insight in decision-making refers to the accurate appraisal of one’s skills and capabilities. The neural basis of insight is poorly understood. In this study we found that...
More infoInformation sampling behavior with explicit sampling costs
NEUROSCIENCE Information sampling behavior with explicit sampling costs AUTHORS: Laurence Maloney,Todd M. Gureckis, and Mordechai Juni. ABSTRACT The decision to gather information should take into account both the value of information...
More infoTesting the DDM: A Behavioral Experiment to Measure Evidence Accumulation During Decision Making
ECONOMICS Testing the DDM: A Behavioral Experiment to Measure Evidence Accumulation During Decision MakingAUTHORS: Stefan F. Bucher and Paul W. Glimcher OBJECTIVE Drift-diffusion models (DDM) have had empirical success in fitting choice and...
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 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...
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 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...
More infoAside Post
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