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Learning the probability of success in a simple motor task from sequences of success and failure
NEUROSCIENCE Learning the probability of success in a simple motor task from sequences of success and failure ABSTRACT Successful decision making depends on accurate knowledge of probabilities of outcomes: should I really try to climb that sheer...
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More infoDynamic estimation of task-relevant variance in movement under risk
NEUROSCIENCE Dynamic estimation of task-relevant variance in movement under risk AUTHORS: Michael Landy, Julia Trommershäuser, Nathaniel Daw ABSTRACT Humans take into account their own movement variability as well as potential consequences...
More infoSuboptimal decision criteria are predicted by subjectively weighted probabilities and rewards
NEUROSCIENCE Suboptimal decision criteria are predicted by subjectively weighted probabilities and rewards ABSTRACT Subjects performed a visual detection task with varied probability of target occurrence and rewards. To maximize monetary gain...
More infoInteroception and Decision-Making
NEUROSCIENCE Interoception and Decision-Making ABSTRACT Studies on the roles of emotion in decision-making have highlighted a powerful role for emotions in influencing choices. The source of the individual differences in emotional responses, and...
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...
More infoChoice of saccade endpoint under risk
NEUROSCIENCE Choice of saccade endpoint under risk ABSTRACT We ask whether human observers choose saccade endpoints that maximize expected gain when there are explicit rewards associated with correctly detecting the target in a visual search...
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