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

doi:10.1523/JNEUROSCI.1274-22.2023

PreviousNext

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

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Rachel Rac-Lubashevsky

Anna Cremer

3Department of Cognitive Psychology, Universitat Hamburg, 20146 Hamburg, Germany

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

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

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Anne G.E. Collins

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

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Michael J. Frank

Lars Schwabe

3Department of Cognitive Psychology, Universitat Hamburg, 20146 Hamburg, Germany

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Lars Schwabe

Article
Figures & Data
Info & Metrics
eLetters
PDF

Member Log In

Log in using your username and password

Username *

Enter your Journal of Neuroscience username.

Password *

Enter the password that accompanies your username.

Forgot your user name or password?

Purchase access

You may purchase access to this article. This will require you to create an account if you don't already have one.

In this issue

Journal of Neuroscience

Vol. 43, Issue 17

26 Apr 2023

Table of Contents
Table of Contents (PDF)
About the Cover
Index by author
Masthead (PDF)

Thank you for sharing this Journal of Neuroscience article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

You are going to email the following Neural Index of Reinforcement Learning Predicts Improved Stimulus–Response Retention under High Working Memory Load

Message Subject (Your Name) has forwarded a page to you from Journal of Neuroscience

Message Body (Your Name) thought you would be interested in this article in Journal of Neuroscience.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

View Full Page PDF

Citation Tools

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

Citation Manager Formats

BibTeX
Bookends
EasyBib
EndNote (tagged)
EndNote 8 (xml)
Medlars
Mendeley
Papers
RefWorks Tagged
Ref Manager
RIS
Zotero

Respond to this article

Request Permissions

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

Share This Article:

Tweet Widget
Facebook Like
Google Plus One

Jump to section

Article
Figures & Data
Info & Metrics
eLetters
PDF

Keywords

EEG
reinforcement learning
retention
stress
working memory

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Cited By...

Research Articles

Hyperexcitability in the olfactory bulb and impaired fine odor discrimination in the Fmr1 KO mouse model of fragile X syndrome
Cortical synchrony and information flow during transition from wakefulness to light non-rapid eye movement sleep
Na_X channel is a physiological [Na⁺] detector in oxytocin and vasopressin releasing magnocellular neurosecretory cells of the rat supraoptic nucleus

Show more Research Articles

Behavioral/Cognitive

Decoding reach direction in early “visual” cortex of congenitally blind individuals
Signatures of Electrical Stimulation Driven Network Interactions in the Human Limbic System
Dissociable Neural Mechanisms Underlie the Effects of Attention on Visual Appearance and Response Bias

Show more Behavioral/Cognitive

Main menu

User menu

Search

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

Member Log In

Purchase access

In this issue

Citation Manager Formats

Keywords

Responses to this article

Jump to comment:

Related Articles

Cited By...

More in this TOC Section

Research Articles

Behavioral/Cognitive