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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 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. He also serves as advisor to Intel/Nervana, Vicarious, and BayLabs. 

Relevant Publications

Cheung B, Weiss E, Olshausen BA, "Emergence of foveal image sampling from learning to attend in visual scenes. International Conference on Learning Representations (ICLR) Conference." arXiv:1611.09430 If only five are allowed, then omit the most recent one on the existing list (Lewicki et al.), 2017.

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.


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


United States

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