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Neural knowledge assembly in humans and deep networks

View ORCID ProfileStephanie Nelli, Lukas Braun, View ORCID ProfileTsvetomira Dumbalska, View ORCID ProfileAndrew Saxe, View ORCID ProfileChristopher Summerfield
doi: https://doi.org/10.1101/2021.10.21.465374
Stephanie Nelli
1Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
2Department of Cognitive Science, Occidental College, Los Angeles California, United States
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  • For correspondence: nelli@oxy.edu christopher.summerfield@psy.ox.ac.uk
Lukas Braun
1Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
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Tsvetomira Dumbalska
1Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
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Andrew Saxe
1Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
3Gatsby Unit & Sainsbury Wellcome Centre, University College London, London, United Kingdom
4CIFAR Azrieli Global Scholars program, CIFAR, Toronto, Canada
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Christopher Summerfield
1Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
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  • For correspondence: nelli@oxy.edu christopher.summerfield@psy.ox.ac.uk
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Abstract

Human understanding of the world can change rapidly when new information comes to light, such as when a plot twist occurs in a work of fiction. This flexible “knowledge assembly” requires few-shot reorganisation of neural codes for relations among objects and events. However, existing computational theories are largely silent about how this could occur. Here, participants learned a transitive ordering among novel objects within two distinct contexts, before exposure to new knowledge that revealed how they were linked. BOLD signals in dorsal frontoparietal cortical areas revealed that objects were rapidly and dramatically rearranged on the neural manifold after minimal exposure to linking information. We then adapt stochastic online gradient descent to permit similar rapid knowledge assembly in a neural network model.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Fixed minor issues with wording Added supplement

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted November 19, 2021.
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Neural knowledge assembly in humans and deep networks
Stephanie Nelli, Lukas Braun, Tsvetomira Dumbalska, Andrew Saxe, Christopher Summerfield
bioRxiv 2021.10.21.465374; doi: https://doi.org/10.1101/2021.10.21.465374
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Neural knowledge assembly in humans and deep networks
Stephanie Nelli, Lukas Braun, Tsvetomira Dumbalska, Andrew Saxe, Christopher Summerfield
bioRxiv 2021.10.21.465374; doi: https://doi.org/10.1101/2021.10.21.465374

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