Nature Communications (Mar 2023)
Catalyzing next-generation Artificial Intelligence through NeuroAI
- Anthony Zador,
- Sean Escola,
- Blake Richards,
- Bence Ölveczky,
- Yoshua Bengio,
- Kwabena Boahen,
- Matthew Botvinick,
- Dmitri Chklovskii,
- Anne Churchland,
- Claudia Clopath,
- James DiCarlo,
- Surya Ganguli,
- Jeff Hawkins,
- Konrad Körding,
- Alexei Koulakov,
- Yann LeCun,
- Timothy Lillicrap,
- Adam Marblestone,
- Bruno Olshausen,
- Alexandre Pouget,
- Cristina Savin,
- Terrence Sejnowski,
- Eero Simoncelli,
- Sara Solla,
- David Sussillo,
- Andreas S. Tolias,
- Doris Tsao
Affiliations
- Anthony Zador
- Cold Spring Harbor Laboratory
- Sean Escola
- Department of Psychiatry, Columbia University
- Blake Richards
- Mila
- Bence Ölveczky
- Department of Organismic and Evolutionary Biology, Harvard University
- Yoshua Bengio
- Mila
- Kwabena Boahen
- Department of Bioengineering, Stanford University
- Matthew Botvinick
- Google Deepmind
- Dmitri Chklovskii
- Flatiron Institute, Simons Foundation
- Anne Churchland
- Department of Neurobiology, University of California Los Angeles
- Claudia Clopath
- Department of Bioengineering, Imperial College London
- James DiCarlo
- Department of Brain and Cognitive Sciences, MIT
- Surya Ganguli
- Department of Applied Physics, Stanford University
- Jeff Hawkins
- Numenta
- Konrad Körding
- Department of Neuroscience, University of Pennsylvania
- Alexei Koulakov
- Cold Spring Harbor Laboratory
- Yann LeCun
- Meta
- Timothy Lillicrap
- Google Deepmind
- Adam Marblestone
- Media Lab, MIT
- Bruno Olshausen
- Helen Wills Neuroscience Institute, University of California Berkeley
- Alexandre Pouget
- Department of Basic Neurosciences, University of Geneva
- Cristina Savin
- Center for Neural Science, NYU
- Terrence Sejnowski
- Salk Institute for Biological Studies
- Eero Simoncelli
- Departments of Neural Science, Mathematics, and Psychology, NYU
- Sara Solla
- Department of Physiology, Northwestern University
- David Sussillo
- Meta
- Andreas S. Tolias
- Department of Neuroscience, Baylor College of Medicine
- Doris Tsao
- Helen Wills Neuroscience Institute, University of California Berkeley
- DOI
- https://doi.org/10.1038/s41467-023-37180-x
- Journal volume & issue
-
Vol. 14,
no. 1
pp. 1 – 7
Abstract
One of the ambitions of computational neuroscience is that we will continue to make improvements in the field of artificial intelligence that will be informed by advances in our understanding of how the brains of various species evolved to process information. To that end, here the authors propose an expanded version of the Turing test that involves embodied sensorimotor interactions with the world as a new framework for accelerating progress in artificial intelligence.
