NEUROSCIENCE Cortical computations underlying decision-making ABSTRACT Relative value coding is governed by divisive normalization, a computational algorithm widely described in sensory cortices, suggesting a common cortical mechanism for...
More infoThinking About Thinking and Its Cognitive Limits
NEUROSCIENCE Thinking About Thinking and Its Cognitive Limits AUTHORS: Adam Brandenburger and Xiaomin Li ABSTRACT Evidence shows that when engaged in game-playing tasks, individuals think about what other individuals are thinking. Presumably...
More infoA Bayesian model of insight
NEUROSCIENCE A Bayesian model of insight ABSTRACT We are building a computational model of insight. The core of this model permits actions to dissociate from intentions. Our model provides a Bayesian “definition” of insight as the probability...
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...
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 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 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 infoNYU ISDM TEST
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More infoCostly information sampling
NEUROSCIENCE Costly information sampling ABSTRACT Theories of optimal information sampling assert that the decision to gather information should take into account accrual costs: time, energy, and money. This project explored how effectively...
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