Maintenance and transformation of representational formats during working memory prioritization
Abstract: Visual working memory depends on both material-specific brain areas in the ventral visual stream (VVS) that support the maintenance of stimulus representations and on regions in the prefrontal cortex (PFC) that control these representations. How executive control prioritizes working memory contents and whether this affects their representational formats remains an open question, however. Here, we analyzed intracranial EEG (iEEG) recordings in epilepsy patients with electrodes in VVS and PFC who performed a multi-item working memory task involving a retro-cue. We employed Representational Similarity Analysis (RSA) with various Deep Neural Network (DNN) architectures to investigate the representational format of prioritized VWM content. While recurrent DNN representations matched PFC representations in the beta band (15–29 Hz) following the retro-cue, they corresponded to VVS representations in a lower frequency range (3–14 Hz) towards the end of the maintenance period. Our findings highlight the distinct coding schemes and representational formats of prioritized content in VVS and PFC
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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Nature Communications. - 15, 1 (2024) , 8234, ISSN: 2041-1723
- Klassifikation
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Allgemeines, Wissenschaft
- Ereignis
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Veröffentlichung
- (wo)
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Freiburg
- (wer)
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Universität
- (wann)
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2024
- Urheber
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Pacheco-Estefan, Daniel
Fellner, Marie-Christin
Kunz, Lukas
Zhang, Hui
Reinacher, Peter
Roy, Charlotte
Brandt, Armin
Schulze-Bonhage, Andreas
Yang, Linglin
Wang, Shuang
Liu, Jing
Xue, Gui
Axmacher, Nikolai
- DOI
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10.1038/s41467-024-52541-w
- URN
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urn:nbn:de:bsz:25-freidok-2571173
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:28 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Pacheco-Estefan, Daniel
- Fellner, Marie-Christin
- Kunz, Lukas
- Zhang, Hui
- Reinacher, Peter
- Roy, Charlotte
- Brandt, Armin
- Schulze-Bonhage, Andreas
- Yang, Linglin
- Wang, Shuang
- Liu, Jing
- Xue, Gui
- Axmacher, Nikolai
- Universität
Entstanden
- 2024
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