Bruno Olshausen
Professor
Builds computational models of visual perception, including sparse coding, at the Redwood Center for Theoretical Neuroscience.
Bruno Olshausen's lab at UC Berkeley works on computational neuroscience & cognition, learning theory & optimization and neuroscience & brain-computer interfaces. 9 papers since 2023, 1 at top venues, mostly Neural Computation and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 11%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 5 papers2024 · T1 1
- 2 papers2023 · T1 0
T1 venuesOtherVenues: Neural Computation, NeurIPS
Research focuspaper titles that use each topic's words
- Learning theory & optimization1 paper
- Computational neuroscience & cognition0 papers
- Neuroscience & brain-computer interfaces0 papers
- neuroscience0 papers
- builds computational0 papers
Paper list
From the lab homepage.
20261 paper
- Journal of the Optical Society of America, AEmergence of unique hues from sparse coding of color in natural scenes (opens in a new tab)
20251 paper
- Journal of the Optical Society of America, AEmergence of strategic cone weighting from efficient coding of spatiochromatic natural images (opens in a new tab)
20245 papers
- NeurIPS (T1)Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps (opens in a new tab)
- NICECompositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks (opens in a new tab)
- Neural ComputationComputing with Residue Numbers in High-Dimensional Representation (opens in a new tab)
- Neural ComputationLearning Internal Representations of 3D Transformations From 2D Projected Inputs (opens in a new tab)
- Foundational Papers in Complexity ScienceThe Genesis of Modern Computing and AI. (Commentary on McCulloch & Pitts, "A Logical Calculus of the Ideas Immanent in Nervous Activity") (opens in a new tab)
20232 papers
- ICLR ProceedingsBispectral Neural Networks (opens in a new tab)
- Proceedings of Machine Learning Research - Symmetry and Geometry in Neural RepresentationsVisual Scene Representation with Hierarchical Equivariant Sparse Coding (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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