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 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 infoThe price of success
NEUROSCIENCE The price of success ABSTRACT How much should you pay for a better chance at success? For this project, we approached individuals in a city park and had them play a novel lottery using a small set of black and white marbles in an...
More infoThe bounded log-odds model of frequency and probability distortion
NEUROSCIENCE The bounded log-odds model of frequency and probability distortion ABSTRACT People systematically distort probability and frequency information in decision-making and in many other perceptual, motor and cognitive tasks. We show that...
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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 infoUrban Attention
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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Discover the natural beauty & resorces of City’s outdoors
More infoDynamic estimation of task-relevant variance in movement under risk
NEUROSCIENCE Dynamic estimation of task-relevant variance in movement under risk AUTHORS: Michael Landy, Julia Trommershäuser, Nathaniel Daw ABSTRACT Humans take into account their own movement variability as well as potential consequences...
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 infoComputational Phenotypes of Decision Making in Heroin Addiction
NEUROSCIENCE Computational Phenotypes of Decision Making in Heroin Addiction AUTHORS: Anna B Konova, Silvia Lopez-Guzman, John Rotrosen, Stephen Ross and Paul W Glimcher. ABSTRACT Decision-making is strongly affected by drugs of abuse. The...
More infoReference-dependence in intertemporal choice
NEUROSCIENCE Reference-dependence in intertemporal choice ABSTRACT In our current study, we measure emotional arousal while individuals make decisions between smaller, immediate monetary rewards and later, larger rewards. We find that both...
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