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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Calling All Grad Students! Attention Graduate students and faculty at the start of your careers: Looking for a summer program or to expand your horizons? There will be a 2nd Summer Institute in Social-Science Genomics based in Santa Barbara...
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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...
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NEUROSCIENCE Neural bases of self-control and adaptive behavior ABSTRACT Influential research suggests that exercising self-control depletes a limited cognitive resource, of unclear identity. But a slack in performance needs not invoke resource...
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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...
More infoRat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics
NEUROSCIENCE Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics AUTHORS: Alex T. Piet, Jeffrey C. Erlich, Charles D. Kopec, and Carlos D. Brody ABSTRACT Two-node attractor...
More infoProjection Bias
NEUROSCIENCE Projection Bias ABSTRACT Projection bias is exemplified by the “shopping while hungry” phenomenon, in which people overbuy at the supermarket when they’re hungry, incorrectly anticipating the kinds and amount of food they’ll want...
More infoCriterion learning for perceptual decisions under uncertainty
NEUROSCIENCE Criterion learning for perceptual decisions under uncertainty ABSTRACT Signal detection theory posits that observers set a fixed criterion in making a forced-choice decision based on noisy sensory information. How is that criterion...
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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 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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