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 infoNeuroeconomic Models for Choice Behaviour
NEUROSCIENCE Neuroeconomic Models for Choice Behaviour ABSTRACT My research explores models of economic choice behaviour that gain insight from the neural processes underlying decision. I attempt to draw connections between modelling at the level...
More infoEconomic decision-making in Drosophila larvae
NEUROSCIENCE Economic decision-making in Drosophila larvae ABSTRACT The goal of this project is two-fold. First, we use tools from microeconomics to characterize the choices of wild type Drosophila larvae as they tradeoff goods (dark and food) in...
More infoWinter is coming: detecting and exploiting period changes in probability
NEUROSCIENCE Winter is coming: detecting and exploiting period changes in probability ABSTRACT Summer and winter, day and night: periodic change is abundant in the natural environment. We examine whether people can detect and exploit period...
More infoRole of non-monetary incentives in decision making
NEUROSCIENCE Role of non-monetary incentives in decision making ABSTRACT People show age-related changes in decision-making. Therefore, we want to investigate the correlation between the brain structures and the generalized axiom of revealed...
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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...
More infoCortical computations underlying decision-making
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 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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It’s great to welcome my cabinet & staff to the mansion tonight and thank them for all their hard work this year.”
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