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 infoThe neural coding of value information
NEUROSCIENCE The neural coding of value information ABSTRACT The neural coding of value information is critical to the decision process, guiding the choice between potential options and bridging the gap between sensation and action. We have...
More infoPropranolol and Loss Aversion
NEUROSCIENCE Propranolol and Loss Aversion ABSTRACT Previous work has suggested that arousal responses to gain and loss outcomes are related to loss aversion in participants’ choices. Though these previous data are correlational, they suggest a...
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 infoRetailer Pricing and Consumer Choice under Price Uncertainty
NEUROSCIENCE Retailer Pricing and Consumer Choice under Price Uncertainty ABSTRACT Based on the implicit assumption that consumers’ average price perceptions guide their retailer choice, previous research examined how different retailer pricing...
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...
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...
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...
More infoCan deep brain stimulation reduce preference for cocaine?
NEUROSCIENCE A Drosophila model for studying the neuronal bases of decision-making ABSTRACT I work in the NYU Biology department in Justin Blau’s team, developing a model for decision-making in the fruitfly Drosophila. I have designed a novel...
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Suboptimal decision criteria are predicted by subjectively weighted probabilities and rewards
NEUROSCIENCE Suboptimal decision criteria are predicted by subjectively weighted probabilities and rewards ABSTRACT Subjects performed a visual detection task with varied probability of target occurrence and rewards. To maximize monetary gain...
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