Bruno Olshausen Neuroscientist
Bruno Olshausen’s research focuses on computational models of the visual cortex. He is currently working on unsupervised learning principles that are capable of factoring time-varying images into independent representations of 3D form and motion. The hope is that such models can provide insight into the different forms of processing occurring in the ventral and dorsal streams of visual cortex.
Olshausen is also co-founder of IQ Engines, a start-up that developed image search algorithms based on visual representations used in the brain, which was acquired by Yahoo! in 2013.
M. S. Lewicki et al, "Scene analysis in the natural environment," Frontiers in Psychology, vol. 5, article 199, 2014.
C. F. Cadieu and B. A. Olshausen, "Learning intermediate-level representations of form and motion from natural movies," Neural Computation, vol. 24, no. 4, pp. 827-66, 2012.
C. J. Rozell et al, "Sparse Coding via Thresholding and Local Competition in Neural Circuits," Neural Computation, vol. 20, pp. 2526-2563, 2008.
B. A. Olshausen and D. J. Field, "How Close Are We to Understanding V1?" Neural Computation, vol. 17, pp. 1665-1699, 2005.
B.A. Olshausen and D.J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, no. 6583, pp. 607-609, Jun. 1996.
R. P. N. Rao et al, Eds., Probabilistic Models of the Brain: Perception and Neural Function. Cambridge: MIT Press, 2002.
Senior Fellow Learning in Machines & Brains
University of California, BerkeleyRedwood Center for Theoretical Neuroscience, School of Optometry
PhD (Computation and Neural Systems) California Institute of Technology
MS (Electrical Engineering) Stanford University
BS (Electrical Engineering) Stanford University
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