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More infoNEUROSCIENCE A Bayesian model of insight ABSTRACT We are building a computational model of insight. The core of this model permits actions to dissociate from intentions. Our model provides a Bayesian “definition” of insight as the probability...
More infoNEUROSCIENCE 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...
More infoNEUROSCIENCE 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 infoNEUROSCIENCE 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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More infoNEUROSCIENCE A Drosophila model for studying the neuronal bases of decision-making ABSTRACT I work in the NYU Biology department in Justin Blau’s team, developing a model for decision-making in the fruitfly Drosophila. I have designed a novel...
More infoNEUROSCIENCE 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 infoResearchers Uncover the Neurobiological Basis For Risk Aversion as We Age December 13, 2016 New research out of NYU’s Institute for the Interdisciplinary Study of Decision Making (NYU IISDM) shows how age itself is not the determining factor in...
More infoNEUROSCIENCE Thinking Like A Trader ABSTRACT We know surprisingly little about the role of emotions in decision-making, and nearly nothing about how we can change those emotions, and thereby our choices. In a series of studies, we asked...
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