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Criterion 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 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 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...
More infoAcute Stress and Reinforcement Learning
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...
More infoMeasuring people’s internal models of motor error distribution
NEUROSCIENCE Measuring people’s internal models of motor error distribution ABSTRACT A good decision maker in perception and action (e.g. a good surgeon) needs to allow for the irreducible errors in her own movement. In simple reaching tasks, the...
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...
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More infoCostly information sampling
NEUROSCIENCE Costly information sampling ABSTRACT Theories of optimal information sampling assert that the decision to gather information should take into account accrual costs: time, energy, and money. This project explored how effectively...
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