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Bruno A. Olshausen

Affiliations: 
University of California, Berkeley, Berkeley, CA, United States 
 University of California, Davis, Davis, CA 
Area:
Computation & Theory
Website:
http://redwood.ucdavis.edu/bruno/
Google:
"Bruno Olshausen"
Mean distance: 12.64 (cluster 29)
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Parents

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David C. Van Essen grad student Caltech
David J. Field post-doc Cornell

Children

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Evan C. Ehrenberg research assistant 2008-2010 Redwood Center for Theoretical Neuroscience, UC Berkeley
Michael Y.-S. Fang grad student UC Berkeley (Physics Tree)
Vasha G DuTell grad student 2015- UC Berkeley
Scott O. Murray grad student 1998-2002 UC Davis
Philip Andrew Sallee grad student 2004 UC Davis
Jeffrey Scott Johnson grad student 2005 UC Davis
Charles F. Cadieu grad student 2009 UC Berkeley
Pierre Jerome Garrigues grad student 2009 UC Berkeley
Jimmy Ching Wang grad student 2010 UC Berkeley
Benjamin Jackson Culpepper grad student 2005-2011 UC Berkeley
Jascha Sohl-Dickstein grad student 2012 UC Berkeley
Brent D. Parsons grad student 2017 UC Berkeley
Yubei Chen grad student 2013-2019 UC Berkeley
Dylan M Paiton grad student 2013-2019 UC Berkeley
Matthias Bethge post-doc MPI for Biological Cybernetics
Timothy J. Blanche post-doc UC Berkeley
Kilian Koepsell post-doc UC Berkeley
Jeffrey B. Colombe post-doc 1999-2000 UC Davis
Christopher J. Rozell post-doc 2007-2008 UC Berkeley
Ian H. Stevenson post-doc 2011-2013 UC Berkeley
Saeed Saremi research scientist UC Berkeley

Collaborators

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Charles Marshall Gray collaborator Montana State
BETA: Related publications

Publications

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Connor M, Olshausen B, Rozell C. (2024) Learning Internal Representations of 3D Transformations From 2D Projected Inputs. Neural Computation. 1-35
Kymn CJ, Mazelet S, Thomas A, et al. (2024) Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. Arxiv
Kymn CJ, Kleyko D, Frady EP, et al. (2023) Computing with Residue Numbers in High-Dimensional Representation. Arxiv
Bybee C, Kleyko D, Nikonov DE, et al. (2023) Efficient optimization with higher-order ising machines. Nature Communications. 14: 6033
Kleyko D, Bybee C, Huang PC, et al. (2023) Efficient Decoding of Compositional Structure in Holistic Representations. Neural Computation. 1-28
Zador A, Escola S, Richards B, et al. (2023) Catalyzing next-generation Artificial Intelligence through NeuroAI. Nature Communications. 14: 1597
Kleyko D, Davies M, Frady EP, et al. (2022) Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proceedings of the Ieee. Institute of Electrical and Electronics Engineers. 110: 1538-1571
DuTell V, Gibaldi A, Focarelli G, et al. (2022) High-fidelity eye, head, body, and world tracking with a wearable device. Behavior Research Methods
Fang MY, Mudigonda M, Zarcone R, et al. (2022) Learning and Inference in Sparse Coding Models With Langevin Dynamics. Neural Computation. 34: 1676-1700
Paiton DM, Frye CG, Lundquist SY, et al. (2020) Selectivity and robustness of sparse coding networks. Journal of Vision. 20: 10
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