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 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...
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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...
More infoNeural bases of self-control and adaptive behavior
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...
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 infoThe MINY Van Project
NEUROSCIENCE The MINY Van Project ABSTRACT Research on household financial decisions using a newly-constituted Vanguard Research Institute Panel. The project models and measures wealth accumulation, asset holding, health, long term care, and...
More infoNeural dynamics of decision confidence
NEUROSCIENCE Neural dynamics of decision confidence ABSTRACT Previous studies in non-human primates have revealed neural activity in the parietal and prefrontal cortex that correlates with the animal’s confidence after a decision has been made...
More infoCortical computations underlying decision-making
NEUROSCIENCE Cortical computations underlying decision-making ABSTRACT Relative value coding is governed by divisive normalization, a computational algorithm widely described in sensory cortices, suggesting a common cortical mechanism for...
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More infoInterrupting counterfactual representations in the lateral frontal pole
NEUROSCIENCE Interrupting counterfactual representations in the lateral frontal pole ABSTRACT I am collaborating with researchers at Oxford University who have discovered that the lateral frontal pole displays a unique connectivity profile in...
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...
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