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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 infoUsing Single-Neuron Recording in Marketing: Opportunities, Challenges, and an Application to Fear Enhancement in Communications
NEUROSCIENCE Using Single-Neuron Recording in Marketing: Opportunities, Challenges, and an Application to Fear Enhancement in Communications ABSTRACT This paper introduces the method of single-neuron recording in humans to marketing and consumer...
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 infoStudying
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More infoComputational Phenotypes of Decision Making in Heroin Addiction
NEUROSCIENCE Computational Phenotypes of Decision Making in Heroin Addiction AUTHORS: Anna B Konova, Silvia Lopez-Guzman, John Rotrosen, Stephen Ross and Paul W Glimcher. ABSTRACT Decision-making is strongly affected by drugs of abuse. The...
More infoNYU ISDM TEST
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More infoDecision-Making Across the Life Span
NEUROSCIENCE Decision-Making Across the Life Span ABSTRACT Characterizing behavioral changes in decision-making across the life span and understanding why they occur has significant implications for behavioral problems associated with poor...
More infoDynamic estimation of task-relevant variance in movement under risk
NEUROSCIENCE Dynamic estimation of task-relevant variance in movement under risk AUTHORS: Michael Landy, Julia Trommershäuser, Nathaniel Daw ABSTRACT Humans take into account their own movement variability as well as potential consequences...
More infoRisk preferences in New Yorkers’ everyday decisions. Correlation of risk preferences across different decision-making domains.
NEUROSCIENCE Risk preferences in New Yorkers’ everyday decisions. Correlation of risk preferences across different decision-making domains. ABSTRACT Most of the important decisions that we make in life are made under conditions of uncertainty...
More infoParkinson’s Disease and Risky Monetary Decision-Making
NEUROSCIENCE Parkinson’s Disease and Risky Monetary Decision-Making ABSTRACT Dopamine is intimately involved in decision-making, but its contributions to risky choice are incompletely understood. In Parkinson’s disease, there is a selective...
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