Neural representation of abstract task structure during generalization

  1. Avinash Rao Vaidya  Is a corresponding author
  2. Henry M Jones
  3. Johanny Castillo
  4. David Badre
  1. Brown University, United States
  2. Stanford University, United States
  3. University of Massachusetts Amherst, United States

Abstract

Cognitive models in psychology and neuroscience widely assume that the human brain maintains an abstract representation of tasks. This assumption is fundamental to theories explaining how we learn quickly, think creatively, and act flexibly. However, neural evidence for a verifiably generative abstract task representation has been lacking. Here, we report an experimental paradigm that requires forming such a representation to act adaptively in novel conditions without feedback. Using functional magnetic resonance imaging, we observed that abstract task structure was represented within left mid-lateral prefrontal cortex, bilateral precuneus and inferior parietal cortex. These results provide support for the neural instantiation of the long-supposed abstract task representation in a setting where we can verify its influence. Such a representation can afford massive expansions of behavioral flexibility without additional experience, a vital characteristic of human cognition.

Data availability

Complete behavioral data from all participants who completed all three sessions of this experiment, un-thresholded statistical maps for whole-brain analyses and beta coefficients for ROI-level analyses have been deposited on the project site for this experiment on the Open Science Framework.

The following data sets were generated

Article and author information

Author details

  1. Avinash Rao Vaidya

    Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, United States
    For correspondence
    avinash_vaidya@brown.edu
    Competing interests
    No competing interests declared.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5423-5655
  2. Henry M Jones

    Department of Psychology, Stanford University, Stanford, United States
    Competing interests
    No competing interests declared.
  3. Johanny Castillo

    Department of Psychology and Brain Science, University of Massachusetts Amherst, Amherst, United States
    Competing interests
    No competing interests declared.
  4. David Badre

    Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, United States
    Competing interests
    David Badre, Reviewing editor, eLife.

Funding

Office of Naval Research (N00014-16-1-2832)

  • David Badre

National Institute of General Medical Sciences (R25GM125500)

  • Johanny Castillo
  • David Badre

National Institute of Mental Health (F32MH116592)

  • Avinash Rao Vaidya

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: All participants gave their written informed consent to participate in this study, as approved by the Human Research Protections Office at Brown University, and were compensated for their participation.

Copyright

© 2021, Vaidya et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 4,022
    views
  • 650
    downloads
  • 47
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Avinash Rao Vaidya
  2. Henry M Jones
  3. Johanny Castillo
  4. David Badre
(2021)
Neural representation of abstract task structure during generalization
eLife 10:e63226.
https://doi.org/10.7554/eLife.63226

Share this article

https://doi.org/10.7554/eLife.63226