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David Sheinberg is a Professor of Neuroscience at Brown University, where he has been a faculty member since 2000. He leads a research lab focused on understanding the neural mechanisms underlying perception and how the brain efficiently processes dynamic streams of sensory information. His research interests include visual processing, perceptual learning, and the activity of neural circuits involved in object recognition. Prior to his current role, he completed postdoctoral fellowships at the Baylor College of Medicine and the Max Planck Institute in Tübingen, Germany. Sheinberg received his AB in Computer Science and Psychology from Yale College and a PhD in Cognitive Science from Brown University. He has been involved in numerous funded research projects, including studies on visual simulation and recognition. His work contributes significantly to the field of neuroscience, particularly in exploring how the brain adapts to information over time and the interactions between visual features and perceptual decisions.
Brown University • Providence, RI
Conducting research and teaching in the field of Neuroscience.
Department: Department of Economics