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Stephanie Palmer's research focuses on how populations of neurons collaboratively encode information. Her work examines how the brain performs different classes of computations including signal comparison, prediction, error correction, and learning. She investigates phenomena across various systems, collaborating with experimentalists on topics like predictive coding in the retina and the visual cortex in rodents, motion coding in area MT, and temporal coding in the zebra finch song system. General principles guiding current research have emerged from her studies, particularly the hypothesis that neurons are optimized to predict future inputs and that information in neural populations is represented combinatorially. Her work also emphasizes that coding in sensorimotor systems is dynamic and behaviorally dependent. Palmer closely collaborates with experimentalists, employing detailed measurements to constrain and test theories regarding neural population coding.
Department of Philosophy