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...
More infoEnvisioning the Improbable: Judgment and Strategy in Heavy-Tailed Contexts
NEUROSCIENCE Envisioning the Improbable: Judgment and Strategy in Heavy-Tailed Contexts ABSTRACT This multi-method research seeks to increase understanding of the judgment, behavior, and performance of individuals and organizations in...
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 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 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...
More infoUsing Single-Neuron Recording in Marketing: Opportunities, Challenges, and an Application to Fear Enhancement in Communications
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...
More infoChoice of saccade endpoint under risk
NEUROSCIENCE 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 infoNYU ISDM TEST
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More infoSuboptimal Criterion Learning in Static and Dynamic Environments
NEUROSCIENCE Suboptimal Criterion Learning in Static and Dynamic Environments AUTHORS: LElyse H. Norton, Stephen M. Fleming, Nathaniel D. Daw, and Michael S. Landy ABSTRACT Humans often make decisions based on uncertain...
More infoWinter is coming: detecting and exploiting period changes in probability
NEUROSCIENCE Winter is coming: detecting and exploiting period changes in probability ABSTRACT Summer and winter, day and night: periodic change is abundant in the natural environment. We examine whether people can detect and exploit period...
More infoModeling and Measuring Costs of Learning
NEUROSCIENCE Modeling and Measuring Costs of Learning ABSTRACT Theoretical and experimental research is ongoing on models of imperfect perception and how it is impacted by the incentive to learn. The project provides new characterizations of the...
More infoAcute Stress and Reinforcement Learning
NEUROSCIENCE Acute Stress and Reinforcement Learning ABSTRACT The physiological response evoked by short-lived stressful events, referred to as acute stress, impacts human decision-making. Past studies assume that stress causes people to fall...
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