
Bruno Olshausen
University of California, Berkeley · Neuroscience
Active 1988–2024
Research topics
- Artificial Intelligence
- Computer Science
- Cognitive science
- Biology
- Psychology
- Data science
- Programming language
Selected publications
Catalyzing next-generation Artificial Intelligence through NeuroAI
Nature Communications · 2023 · 276 citations
- Computer Science
- Artificial Intelligence
- Computer Science
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which challenges AI animal models to interact with the sensorimotor world at skill levels akin to their living counterparts. The embodied Turing test shifts the focus from those capabilities like game playing and language that are especially well-developed or uniquely human to those capabilities - inherited from over 500 million years of evolution - that are shared with all animals. Building models that can pass the embodied Turing test will provide a roadmap for the next generation of AI.
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
arXiv (Cornell University) · 2022 · 33 citations
- Computer Science
- Artificial Intelligence
- Cognitive science
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which challenges AI animal models to interact with the sensorimotor world at skill levels akin to their living counterparts. The embodied Turing test shifts the focus from those capabilities like game playing and language that are especially well-developed or uniquely human to those capabilities, inherited from over 500 million years of evolution, that are shared with all animals. Building models that can pass the embodied Turing test will provide a roadmap for the next generation of AI.
Recent grants
SGER Collaborative Research: Hierarchical Models of Time-Varying Natural Images
NSF · $57k · 2006–2007
RI: Large: Collaborative Research: 3D Structure and Motion in Dynamic Natural Scenes
NSF · $705k · 2011–2016
NIH · $36k
NIH · $480k · 2004
RI: Collaborative Research: Hierarchical Models of Time-Varying Natural Images
NSF · $440k · 2007–2011
Frequent coauthors
- 40 shared
Friedrich T. Sommer
Center for Theoretical Biological Physics
- 31 shared
Denis Kleyko
- 20 shared
E. Paxon Frady
- 17 shared
Yubei Chen
University of California, Davis
- 14 shared
Pentti Kanerva
University of California, Berkeley
- 12 shared
Michael S. Lewicki
Case Western Reserve University
- 12 shared
Brian Cheung
- 11 shared
Alpha Renner
ETH Zurich
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