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 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 infoModeling and Measuring Costs of Learning
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 effects of stress on aversive and appetitive conditioning and reversal
NEUROSCIENCE The effects of stress on aversive and appetitive conditioning and reversal ABSTRACT In this line of studies, we are examining how acute stress influences the way in which participants learn to assign aversive or appetitive value to...
More infoNeural dynamics of decision confidence
NEUROSCIENCE Neural dynamics of decision confidence ABSTRACT Previous studies in non-human primates have revealed neural activity in the parietal and prefrontal cortex that correlates with the animal’s confidence after a decision has been made...
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 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 infoGoods & Actions, Model-based and Model-free
NEUROSCIENCE Goods & Actions, Model-based and Model-free ABSTRACT Two parallel lines of research have begun to identify the neural correlations and mechanisms underlying decision-making and learning. One line has focused on the distinction...
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 infoEstimating the perceptual decisions of others
NEUROSCIENCE Estimating the perceptual decisions of others ABSTRACT An important corollary of a Bayesian model of insight is that this model can be applied to estimate confidence in others’ decisions, assigning a degree of responsibility to other...
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 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...
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