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 and Doris Tsao
Additional contact information
Anthony Zador: Cold Spring Harbor Laboratory
Sean Escola: Columbia University
Blake Richards: Mila
Bence Ölveczky: Harvard University
Yoshua Bengio: Mila
Kwabena Boahen: Stanford University
Matthew Botvinick: Google Deepmind
Dmitri Chklovskii: Simons Foundation
Anne Churchland: University of California Los Angeles
Claudia Clopath: Imperial College London
James DiCarlo: MIT
Surya Ganguli: Stanford University
Jeff Hawkins: Numenta
Konrad Körding: University of Pennsylvania
Alexei Koulakov: Cold Spring Harbor Laboratory
Yann LeCun: Meta
Timothy Lillicrap: Google Deepmind
Adam Marblestone: MIT
Bruno Olshausen: University of California Berkeley
Alexandre Pouget: University of Geneva
Cristina Savin: NYU
Terrence Sejnowski: Salk Institute for Biological Studies
Eero Simoncelli: NYU
Sara Solla: Northwestern University
David Sussillo: Meta
Andreas S. Tolias: Baylor College of Medicine
Doris Tsao: University of California Berkeley

Nature Communications, 2023, vol. 14, issue 1, 1-7

Abstract: Abstract 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.

Date: 2023
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DOI: 10.1038/s41467-023-37180-x

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