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Research Articles, Behavioral/Cognitive

Neural Index of Reinforcement Learning Predicts Improved Stimulus–Response Retention under High Working Memory Load

Rachel Rac-Lubashevsky, Anna Cremer, Anne G.E. Collins, Michael J. Frank and Lars Schwabe
Journal of Neuroscience 26 April 2023, 43 (17) 3131-3143; DOI: https://doi.org/10.1523/JNEUROSCI.1274-22.2023
Rachel Rac-Lubashevsky
1Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island 02912
2Carney Institute for Brain Science, Brown University, Providence, Rhode Island 02912
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Anna Cremer
3Department of Cognitive Psychology, Universitat Hamburg, 20146 Hamburg, Germany
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Anne G.E. Collins
4Department of Psychology, University of California, Berkeley, Berkeley, California 94720-1650
5Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California 94720
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Michael J. Frank
1Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island 02912
2Carney Institute for Brain Science, Brown University, Providence, Rhode Island 02912
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Lars Schwabe
3Department of Cognitive Psychology, Universitat Hamburg, 20146 Hamburg, Germany
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Article Information

DOI 
https://doi.org/10.1523/JNEUROSCI.1274-22.2023
PubMed 
36931706
Published By 
Society for Neuroscience
History 
  • Received June 29, 2022
  • Revision received January 19, 2023
  • Accepted February 20, 2023
  • First published March 17, 2023.
  • Version of record published April 26, 2023.
Copyright & Usage 
Copyright © 2023 the authors SfN exclusive license.

Author Information

  1. Rachel Rac-Lubashevsky1,2,
  2. Anna Cremer3,
  3. Anne G.E. Collins4,5,
  4. Michael J. Frank1,2,*, and
  5. Lars Schwabe3,*
  1. 1Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island 02912
  2. 2Carney Institute for Brain Science, Brown University, Providence, Rhode Island 02912
  3. 3Department of Cognitive Psychology, Universitat Hamburg, 20146 Hamburg, Germany
  4. 4Department of Psychology, University of California, Berkeley, Berkeley, California 94720-1650
  5. 5Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California 94720
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Author contributions

  1. Author contributions: M.J.F. and L.S. designed research; A.C. performed research; R.R.-L., A.C., and A.G.E.C. analyzed data; R.L.-R., A.C., M.J.F., and L.S. wrote the paper.

  2. ↵*M.J.F. and L.S. contributed equally to this work.

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Disclosures

    • Received June 29, 2022.
    • Revision received January 19, 2023.
    • Accepted February 20, 2023.
  • This work was supported by Landesforschungsfoerdung Hamburg, Germany, Grant LFF FV 38 to L.S. and National Institutes of Health Grant R01 MH084840-08A1 to M.J.F.

  • Correspondence should be addressed to Rachel Rac-Lubashevsky at rac.hunrachel{at}gmail.com

Funding

  • Landesforschungsfoerdung Hamburg, Germany

    LFF FV 38
  • NIH

    MH084840-08A1

Other Version

  • previous version (March 17, 2023).
  • You are viewing the most recent version of this article.

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The Journal of Neuroscience: 43 (17)
Journal of Neuroscience
Vol. 43, Issue 17
26 Apr 2023
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Neural Index of Reinforcement Learning Predicts Improved Stimulus–Response Retention under High Working Memory Load
Rachel Rac-Lubashevsky, Anna Cremer, Anne G.E. Collins, Michael J. Frank, Lars Schwabe
Journal of Neuroscience 26 April 2023, 43 (17) 3131-3143; DOI: 10.1523/JNEUROSCI.1274-22.2023

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Neural Index of Reinforcement Learning Predicts Improved Stimulus–Response Retention under High Working Memory Load
Rachel Rac-Lubashevsky, Anna Cremer, Anne G.E. Collins, Michael J. Frank, Lars Schwabe
Journal of Neuroscience 26 April 2023, 43 (17) 3131-3143; DOI: 10.1523/JNEUROSCI.1274-22.2023
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Keywords

  • EEG
  • reinforcement learning
  • retention
  • stress
  • working memory

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