ArticleNature communications2024
Maintenance and transformation of representational formats during working memory prioritization.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Phase-tuned modulation during reward expectancy in human anterior insular cortex.Communications biology · 2026Article
- Functional Specialization of the Visual Word Form Area During Word Reading: A Multimodal Neuroimaging Study.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Representational dynamics during extinction of fear memories in the human brain.Nature human behaviour · 2026Article
- Hippocampal-guided reconstruction of an event's prior temporal context.bioRxiv : the preprint server for biology · 2025Article
- Neural Dynamics of Visual Stream Interactions During Memory-Guided Actions Investigated by Intracranial EEG.Neuroscience bulletin · 2025Article
- Human hippocampal reactivation of amygdala encoding-related gamma patterns during aversive memory retrieval.Nature communications · 2025Article
- Beyond modular and non-modular states: theoretical considerations, exemplifications, and practical implications.Frontiers in psychology · 2025Article
- Goal-directed attention transforms both working and long-term memory representations in the human parietal cortex.PLoS biology · 2024Article
- Physical function varies according to characteristics of executive dysfunction in patients with stroke.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
13 authors.
Funding
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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.
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