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 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 infoEmotion and decision making under uncertainty
NEUROSCIENCE Emotion and decision making under uncertainty ABSTRACT Different forms and degrees of uncertainty, such as risk (known probabilities) and ambiguity (unknown probabilities), create quantitatively different signals about choice...
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...
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More infoForaging, serial decision making and the opportunity cost of time
NEUROSCIENCE Foraging, serial decision making and the opportunity cost of time ABSTRACT We have an ongoing series of studies that use a patch-foraging paradigm from ecology in order to investigate how individuals make serial (stop/search)...
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 infoEffects of brain lesions on perceptual confidence
NEUROSCIENCE Effects of brain lesions on perceptual confidence ABSTRACT Insight in decision-making refers to the accurate appraisal of one’s skills and capabilities. The neural basis of insight is poorly understood. In this study we found that...
More infoThe role of the Hippocampus in reinforcement learning
NEUROSCIENCE The role of the Hippocampus in reinforcement learning ABSTRACT The idea that there are parallel learning and decision-making systems in the brain is ubiquitous in neuroscience, where a division is often made between systems that...
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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...
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