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...
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NYU ISDM TEST
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More infoNeural bases of self-control and adaptive behavior
NEUROSCIENCE Neural bases of self-control and adaptive behavior ABSTRACT Influential research suggests that exercising self-control depletes a limited cognitive resource, of unclear identity. But a slack in performance needs not invoke resource...
More infoNeural dynamics of decision confidence
NEUROSCIENCE Neural dynamics of decision confidence ABSTRACT Previous studies in non-human primates have revealed neural activity in the parietal and prefrontal cortex that correlates with the animal’s confidence after a decision has been made...
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More infoEfficient coding in decision circuits
NEUROSCIENCE Efficient coding in decision circuits ABSTRACT A fundamental feature of neurobiological systems is adaptive coding, where neural activity reflects the recent history of information processing. Such adaptation is thought to be...
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...
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NEUROSCIENCE Urban Attention ABSTRACT The effects of external distractors on reaction time have been extremely well characterized in the lab. In this project, we aim to quantify the impact of distracting urban environments during an everyday...
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