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Computational 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...
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It’s great to welcome my cabinet & staff to the mansion tonight and thank them for all their hard work this year.”
The 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...
More infoSaving the masses: The impact of perceived efficacy on charitable giving to single vs. multiple beneficiaries
NEUROSCIENCE Saving the masses: The impact of perceived efficacy on charitable giving to single vs. multiple beneficiaries AUTHORS: Professor Vicki Morwitz and Professor Eesha Sharma ABSTRACT People are more generous toward...
More infoCall for Posters from the Brain Imaging Center at the Icahn School of Medicine
Call for Posters from the Brain Imaging Center at the Icahn School of Medicine The Brain Imaging Center (BIC) at the Icahn School of Medicine at Mount Sinai will be hosting its 3rd Annual Symposium on Wednesday, October 19th and release...
More infoThe role of the Hippocampus in reinforcement learning
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...
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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...
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 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...
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