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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More infoEmotion and decision making under uncertainty
NEUROSCIENCE Emotion and decision making under uncertainty ABSTRACT Different forms and degrees of uncertainty, such as risk (known probabilities) and ambiguity (unknown probabilities), create quantitatively different signals about choice...
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...
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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 infoRat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics
NEUROSCIENCE Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics AUTHORS: Alex T. Piet, Jeffrey C. Erlich, Charles D. Kopec, and Carlos D. Brody ABSTRACT Two-node attractor...
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...
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More infoCriterion learning for perceptual decisions under uncertainty
NEUROSCIENCE 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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