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• W1520782224 abstract "Making accurate predictions is one of the most critical functions of the brain. Whether made by a monkey deciding where to forage, a deer deciding which way to run, or a wall-street broker deciding how to invest, decisions are informed by expectations about possible future outcomes. These expectations are learned over time through experience and are rapidly adjusted when they fail to match observations. Here I propose and support the thesis that learning systems in the brain optimize the accuracy of predictions in a changing world, even though this necessitates becoming insensitive to incoming sensory information under some conditions. Furthermore I propose a biologically inspired model for achieving accurate predictions and suggest a novel role for the arousal system in optimally adjusting the influence of incoming sensory information. I support these theses with a series of experiments that utilize computational modeling, as well as behavioral and pupillometric measurements in humans. Degree Type Dissertation Degree Name Doctor of Philosophy (PhD) Graduate Group Neuroscience First Advisor Joshua I. Gold Keywords Arousal, Computational modeling, Decision making, Inference, Learning, Locus coeruleus Subject Categories Neuroscience and Neurobiology This dissertation is available at ScholarlyCommons: http://repository.upenn.edu/edissertations/677 A COMPUTATIONAL ROLE FOR AROUSAL IN OPTIMAL INFERENCE Matthew Robert Nassar A DISSERTATION in Neuroscience Presented to the Faculties of the University of Pennsylvania in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy 2012 Supervisor of Dissertation __________________________________ Joshua Gold Professor, Neuroscience Graduate Group Chairperson __________________________________ Joshua Gold Professor, Neuroscience Dissertation Committee: Yale Cohen, Associate Professor, Otorhinolaryngology Javier Medina, Assistant Professor, Psychology Vijay Balasubramanian, Professor, Physics Jonathan Cohen, Professor, Psychology" @default.
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• W1520782224 date "2012-01-01" @default.
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• W1520782224 title "A computational role for arousal in optimal inference" @default.
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