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Algorithms & Randomness Center (ARC) and
GT Neural Engineering Center present:
Bruno Olshausen (Redwood Center for Theoretical Neuroscience/UC Berkeley)
Wednesday, March 15, 2017
Marcus Nanotechnology Building 1116-1118 - 2 pm
Title: Neural computations for active perception
(Click here for the full program for the Theoretical Neuroscience event.)
Abstract:
The human visual system does not passively view the world, but actively moves its sensor array through eye, head and body movements. How do neural circuits in the brain control and exploit these movements in order to build a scene representation that can guide useful behavior? Here we focus on three aspects of this problem: 1) how do we see in the presence of fixational eye movements? 2) what is the optimal spatial layout of the image sampling array for a visual system that must search via eye movements? and 3) how is information integrated across multiple fixations in order to form a holistic scene representation that allows for visual reasoning about compositional structure? We address these questions by optimizing model neural systems to perform active vision tasks. These model systems in turn provide us with new ways to think about structures found in biology, and they point to new experiments that explore the neural mechanisms enabling active vision.
Speaker's Bio:
Bruno OIshausen is Professor of Neuroscience and Optometry at the University of California, Berkeley. He also serves as Director of the Redwood Center for Theoretical Neuroscience, an interdisciplinary research group focusing on mathematical and computational models of brain function. Olshausen received B.S. and M.S. degrees in electrical engineering from Stanford University, and a Ph.D. in Computation and Neural Systems from the California Institute of Technology. From 1996-2005 he was Assistant and subsequently Associate Professor in the Departments of Psychology and Neurobiology, Physiology and Behavior at UC Davis. He has been at UC Berkeley since 2005
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