NEUROSCIENCE The effects of stress on aversive and appetitive conditioning and reversal ABSTRACT In this line of studies, we are examining how acute stress influences the way in which participants learn to assign aversive or appetitive value to...
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NEUROSCIENCE 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 infoInterrupting counterfactual representations in the lateral frontal pole
NEUROSCIENCE Interrupting counterfactual representations in the lateral frontal pole ABSTRACT I am collaborating with researchers at Oxford University who have discovered that the lateral frontal pole displays a unique connectivity profile in...
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NEUROSCIENCE Using Single-Neuron Recording in Marketing: Opportunities, Challenges, and an Application to Fear Enhancement in Communications ABSTRACT This paper introduces the method of single-neuron recording in humans to marketing and consumer...
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More infoNew Research from NYU, Princeton and UCL Researchers Published in PLoS Computational Biology
New Research from NYU, Princeton and UCL Researchers Published in PLoS Computational Biology February 16, 2017 The decisions we make are only as good as the information we base those decisions off of, but a lot of that information comes to us via...
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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...
More infoCognitive Control Mode Predicts Behavioral Expression of Model-Based Reinforcement-Learning
NEUROSCIENCE Cognitive Control Mode Predicts Behavioral Expression of Model-Based Reinforcement-Learning ABSTRACT A converging body of work suggests that cognitive control operates via two distinct operating modes – proactive control and reactive...
More infoMeasuring people’s internal model of motor error distribution
NEUROSCIENCE Measuring people’s internal model of motor error distribution ABSTRACT A good decision maker in perception and action (e.g. a good surgeon, a good basketball player) needs to compensate for the irreducible errors in her own movement...
More infoLearning 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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