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

Reductions in Retrieval Competition Predict the Benefit of Repeated Testing

View ORCID ProfileNicole S. Rafidi, View ORCID ProfileJustin C. Hulbert, Paula Pacheco, Kenneth A. Norman
doi: https://doi.org/10.1101/292557
Nicole S. Rafidi
1Carnegie Mellon University, Machine Learning Department, Pittsburgh, 15232, USA
2Princeton University, Princeton Neuroscience Institute, Princeton, 08544, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nicole S. Rafidi
Justin C. Hulbert
2Princeton University, Princeton Neuroscience Institute, Princeton, 08544, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Justin C. Hulbert
Paula Pacheco
2Princeton University, Princeton Neuroscience Institute, Princeton, 08544, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kenneth A. Norman
2Princeton University, Princeton Neuroscience Institute, Princeton, 08544, USA
  • 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

Repeated testing leads to improved long-term memory retention compared to repeated study, but the mechanism underlying this improvement remains controversial. In this work, we test the hypothesis that retrieval practice benefits subsequent recall by reducing competition from related memories. This hypothesis implies that the degree of reduction in competition between retrieval practice attempts should predict subsequent memory for practiced items. To test this prediction, we collected electroencephalography (EEG) data across two sessions. In the first session, participants practiced selectively retrieving exemplars from superordinate semantic categories (high competition), as well as retrieving the names of the superordinate categories from exemplars (low competition). In the second session, participants repeatedly studied and were tested on Swahili-English vocabulary. One week after session two, participants were again tested on the vocabulary. We trained a within-subject classifier on the data from session one to distinguish high and low competition states.We then used this classifier to measure competition across multiple retrieval practice attempts in the second session. The degree to which competition decreased for a given vocabulary word predicted whether that item was subsequently remembered in the third session. These results are consistent with the hypothesis that repeated testing improves retention by reducing competition.

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-ND 4.0 International license.
Back to top
PreviousNext
Posted March 30, 2018.
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.
Reductions in Retrieval Competition Predict the Benefit of Repeated Testing
(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
Reductions in Retrieval Competition Predict the Benefit of Repeated Testing
Nicole S. Rafidi, Justin C. Hulbert, Paula Pacheco, Kenneth A. Norman
bioRxiv 292557; doi: https://doi.org/10.1101/292557
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Reductions in Retrieval Competition Predict the Benefit of Repeated Testing
Nicole S. Rafidi, Justin C. Hulbert, Paula Pacheco, Kenneth A. Norman
bioRxiv 292557; doi: https://doi.org/10.1101/292557

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 (2536)
  • Biochemistry (4983)
  • Bioengineering (3487)
  • Bioinformatics (15242)
  • Biophysics (6914)
  • Cancer Biology (5404)
  • Cell Biology (7756)
  • Clinical Trials (138)
  • Developmental Biology (4543)
  • Ecology (7162)
  • Epidemiology (2059)
  • Evolutionary Biology (10240)
  • Genetics (7522)
  • Genomics (9803)
  • Immunology (4869)
  • Microbiology (13250)
  • Molecular Biology (5151)
  • Neuroscience (29496)
  • Paleontology (203)
  • Pathology (838)
  • Pharmacology and Toxicology (1468)
  • Physiology (2143)
  • Plant Biology (4759)
  • Scientific Communication and Education (1013)
  • Synthetic Biology (1339)
  • Systems Biology (4015)
  • Zoology (770)