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More infoInformation sampling behavior with explicit sampling costs
NEUROSCIENCE Information sampling behavior with explicit sampling costs AUTHORS: Laurence Maloney,Todd M. Gureckis, and Mordechai Juni. ABSTRACT The decision to gather information should take into account both the value of information...
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 infoSaving the Masses: The Role of Perceived Efficacy in Charitable Giving
NEUROSCIENCE Saving the Masses: The Role of Perceived Efficacy in Charitable Giving ABSTRACT People tend to be more sympathetic and generous to single than to multiple beneficiaries. We identify one factor—perceived efficacy—that when increased...
More infoAn Analysis of Decision under Risk in Rats
NEUROSCIENCE An Analysis of Decision under Risk in Rats AUTHORS Christine Constantinople ABSTRACT In 1979, Daniel Kahneman and Amos Tversky published a ground-breaking paper titled ‘‘Prospect Theory: An Analysis of Decision under Risk,’’ which...
More infoDecision-Making Across the Life Span
NEUROSCIENCE Decision-Making Across the Life Span ABSTRACT Characterizing behavioral changes in decision-making across the life span and understanding why they occur has significant implications for behavioral problems associated with poor...
More infoUnderstanding the interaction between fear and choice behavior in psychiatric disorders
NEUROSCIENCE Understanding the interaction between fear and choice behavior in psychiatric disorders ABSTRACT Recent evidence suggests that the excessive formation of habits plays an important role in a number of psychiatric disorders, including...
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 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 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 infoPupil dilation contributes to insight in decision-making
NEUROSCIENCE Pupil dilation contributes to insight in decision-making ABSTRACT Insight in decision-making refers to the accurate appraisal of one’s skills and capabilities. In this study we found that participants who had better insight...
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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