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  "Leader-follower" dynamic perturbation manipulates multi-item working memory in humans

Huang, Q., Luo, M., Mi, Y., & Luo, H. (2023). "Leader-follower" dynamic perturbation manipulates multi-item working memory in humans. eNeuro, 10(11): ENEURO.0472-22.2023. doi:10.1523/ENEURO.0472-22.2023.

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 Creators:
Huang, Qiaoli1, 2, 3, 4, Author           
Luo, Minghao1, 2, 3, Author
Mi, Yuanyuan5, Author
Luo, Huan1, 2, 3, Author
Affiliations:
1School of Psychological and Cognitive Sciences, Peking University, China, ou_persistent22              
2PKU-IDG/McGovern Institute for Brain Research, Peking University, China, ou_persistent22              
3Beijing Key Laboratory of Behavior and Mental Health, Peking University, China, ou_persistent22              
4Department Psychology (Doeller), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2591710              
5Department of Psychology, School of Social Sciences, Tsinghua University, China, ou_persistent22              

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 Abstract: Manipulating working memory (WM) is a central yet challenging question. Previous studies posit that WM items with varied memory strengths reactivate at different latencies, supporting a time-based mechanism. Motivated by this view, here we developed a purely bottom-up, "Leader-Follower" behavioral approach to manipulate WM in humans. Specifically, task-irrelevant, flickering color discs that are bound to each of the memorized items are presented during the delay period, and the ongoing luminance sequences of the color discs follow a "Leader-Follower" relationship, i.e., hundreds-of-millisecond temporal lag. We show that this dynamic behavioral approach leads to better memory performance for the item associated with the temporally advanced luminance sequence ("Leader") than that with the temporally lagged luminance sequence ("Follower"), yet with limited effectiveness. Taken together, our findings constitute evidence for the essential role of temporal dynamics in WM operation and offer a promising, non-invasive WM manipulation approach.

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Language(s): eng - English
 Dates: 2023-10-222022-11-212023-10-252023-11-012023-11-22
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1523/ENEURO.0472-22.2023
PMID: 37914409
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Grant ID : 2021ZD0204103
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Funding organization : National Science and Technology Innovation 2030 Major Program
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Grant ID : 31930052
Funding program : -
Funding organization : National Natural Science Foundation of China

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Title: eNeuro
Source Genre: Journal
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Publ. Info: Society for Neuroscience
Pages: - Volume / Issue: 10 (11) Sequence Number: ENEURO.0472-22.2023 Start / End Page: - Identifier: ISSN: 2373-2822
CoNE: https://pure.mpg.de/cone/journals/resource/106249492X