NEUROSCIENCE Acute Stress and Reinforcement Learning ABSTRACT The physiological response evoked by short-lived stressful events, referred to as acute stress, impacts human decision-making. Past studies assume that stress causes people to fall...
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More infoNeuroanatomy accounts for age-related changes in risk preferences
NEUROSCIENCE Neuroanatomy accounts for age-related changes in risk preferences AUTHORS: Paul Glimcher, Michael A. Grubb, Agnieszka Tymula, Sharon Gilaie-Dotanand Ifat Levy ABSTRACT Many decisions involve uncertainty, or...
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More infoCan deep brain stimulation reduce preference for cocaine?
NEUROSCIENCE A Drosophila model for studying the neuronal bases of decision-making ABSTRACT I work in the NYU Biology department in Justin Blau’s team, developing a model for decision-making in the fruitfly Drosophila. I have designed a novel...
More infoThe Measurement of Subjective Value and Its Relation to Contingent Valuation and Environmental Public Goods
NEUROSCIENCE The Measurement of Subjective Value and Its Relation to Contingent Valuation and Environmental Public Goods AUTHORS: ABSTRACT Environmental public goods—including national parks, clean air/water, and ecosystem services—provide...
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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More infoWinter is coming: detecting and exploiting period changes in probability
NEUROSCIENCE Winter is coming: detecting and exploiting period changes in probability ABSTRACT Summer and winter, day and night: periodic change is abundant in the natural environment. We examine whether people can detect and exploit period...
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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...
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...
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