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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More infoMeasuring people’s internal model of motor error distribution
NEUROSCIENCE Measuring people’s internal model of motor error distribution ABSTRACT A good decision maker in perception and action (e.g. a good surgeon, a good basketball player) needs to compensate for the irreducible errors in her own movement...
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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We’re In This Together: How Sellers, Social Values, and Relationship Norms Influence Consumer Payments in Pay-What-You-Want Contexts,” under revision for second review at Journal of Marketing.
NEUROSCIENCE We’re In This Together: How Sellers, Social Values, and Relationship Norms Influence Consumer Payments in Pay-What-You-Want Contexts,” under revision for second review at Journal of Marketing. ABSTRACT We add to the prior research on...
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More infoDynamical analysis of value coding
NEUROSCIENCE Dynamical analysis of value coding ABSTRACT Information coding in the brain is often viewed in terms of equilibrium levels of activity, but neural circuits exhibit marked temporal dynamics during the decision process. Significant...
More infoThe bounded log-odds model of frequency and probability distortion
NEUROSCIENCE The bounded log-odds model of frequency and probability distortion ABSTRACT People systematically distort probability and frequency information in decision-making and in many other perceptual, motor and cognitive tasks. We show that...
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...
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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