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Maintenance and transformation of representational formats during working memory prioritization

Psychology

Maintenance and transformation of representational formats during working memory prioritization

D. Pacheco-estefan, M. Fellner, et al.

This innovative research conducted by Daniel Pacheco-Estefan and colleagues explores visual working memory prioritization using iEEG recordings. Discover how distinct coding schemes emerge in the brain's ventral visual stream and prefrontal cortex, highlighting the fascinating interplay of neural representations in response to visual cues.

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Playback language: English
Abstract
Visual working memory (VWM) prioritization, the ability to selectively attend to specific items, is investigated using intracranial EEG (iEEG) recordings in epilepsy patients. Representational Similarity Analysis (RSA) with Deep Neural Networks (DNNs) reveals distinct coding schemes in ventral visual stream (VVS) and prefrontal cortex (PFC). Recurrent DNNs match PFC representations in beta band (15–29 Hz) after retro-cue, and VVS representations in lower frequencies (3–14 Hz) later. Findings highlight distinct coding and representational formats of prioritized content in VVS and PFC.
Publisher
Nature Communications
Published On
Sep 19, 2024
Authors
Daniel Pacheco-Estefan, Marie-Christin Fellner, Lukas Kunz, Hui Zhang, Peter Reinacher, Charlotte Roy, Armin Brandt, Andreas Schulze-Bonhage, Linglin Yang, Shuang Wang, Jing Liu, Gui Xue, Nikolai Axmacher
Tags
visual working memory
intracranial EEG
coding schemes
ventral visual stream
prefrontal cortex
Recurrent DNNs
neural representations

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