Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Learning from the path not taken: Sensory prediction errors are sufficient for implicit adaptation of withheld movements

View ORCID ProfileOlivia A. Kim, Alexander D. Forrence, Samuel D. McDougle
doi: https://doi.org/10.1101/2021.08.12.456140
Olivia A. Kim
1Department of Psychology, Princeton University, Princeton, NJ 08544
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Olivia A. Kim
  • For correspondence: oakim@princeton.edu
Alexander D. Forrence
2Department of Psychology, Yale University, New Haven, CT 06511
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Samuel D. McDougle
2Department of Psychology, Yale University, New Haven, CT 06511
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABSTRACT

Current theories of motor control emphasize forward models as a critical component of the brain’s motor execution and learning networks. These internal models are thought to predict the consequences of movement before sensory feedback from these movements can reach the brain, allowing for smooth, continuous online motor performance and for the computation of prediction errors that drive implicit motor learning. Taking this framework to its logical extreme, we tested the hypothesis that movements are not necessary for the generation of predictions, the computation of prediction errors, and implicit motor adaptation. Human participants were cued to move a computer mouse to a visually displayed target and were subsequently cued to withhold those movements on a subset of trials. Visual errors displayed on both trials with and without movements to the target induced single-trial learning. Furthermore, learning on trials without movements persisted when accompanying movement trials were never paired with errors and when movement and sensory feedback trajectories were decoupled. These data provide compelling evidence supporting an internal model framework in which forward models generate sensory predictions independent of the generation of movements.

HIGHLIGHTS

  • The brain can learn to update movements that are not performed, representing a mechanism for learning based only on movement planning and sensory expectation.

  • Supports a fundamental role for prediction in adaptation.

  • Provides further support for the role of forward models in predictive motor control.

Competing Interest Statement

The authors have declared no competing interest.

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 4.0 International license.
Back to top
PreviousNext
Posted August 13, 2021.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Learning from the path not taken: Sensory prediction errors are sufficient for implicit adaptation of withheld movements
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Learning from the path not taken: Sensory prediction errors are sufficient for implicit adaptation of withheld movements
Olivia A. Kim, Alexander D. Forrence, Samuel D. McDougle
bioRxiv 2021.08.12.456140; doi: https://doi.org/10.1101/2021.08.12.456140
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Learning from the path not taken: Sensory prediction errors are sufficient for implicit adaptation of withheld movements
Olivia A. Kim, Alexander D. Forrence, Samuel D. McDougle
bioRxiv 2021.08.12.456140; doi: https://doi.org/10.1101/2021.08.12.456140

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3691)
  • Biochemistry (7800)
  • Bioengineering (5678)
  • Bioinformatics (21295)
  • Biophysics (10584)
  • Cancer Biology (8179)
  • Cell Biology (11948)
  • Clinical Trials (138)
  • Developmental Biology (6764)
  • Ecology (10401)
  • Epidemiology (2065)
  • Evolutionary Biology (13876)
  • Genetics (9709)
  • Genomics (13075)
  • Immunology (8151)
  • Microbiology (20022)
  • Molecular Biology (7859)
  • Neuroscience (43075)
  • Paleontology (321)
  • Pathology (1279)
  • Pharmacology and Toxicology (2261)
  • Physiology (3353)
  • Plant Biology (7232)
  • Scientific Communication and Education (1314)
  • Synthetic Biology (2008)
  • Systems Biology (5539)
  • Zoology (1128)