The Distributed Nature of Working Memory.

By Thomas B. Christophel, P. C. Klink, Bernhard Spitzer, Pieter R. Roelfsema, John-Dylan Haynes. Trends in Cognitive Sciences, 2017

734 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/7250889c52660a4a77e02c76236b2443f33b9eae

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In Cognitive Neuroscience

Citations in the corpus

Conscious Processing and the Global Neuronal Workspace Hypothesis (2020, background): “The effects of working memory on neuronal firing rates occur in many cortical areas (Christophel et al., 2017), ranging from primary sensory cortices that code for the memories of elementary sensory features (MendozaHalliday et al.”
Retrospective Adversarial Replay for Continual Learning (2022, background): “Rather than a simple search & recollect, DMS [12] helps us in recombining and reconstructing memories via the integration of episodes from the past and present, but it is not always error-free.”
Working Memory 2.0 (2018, background): “But how widespread has recently generated vigorous debate (Christophel et al., 2017; Leavitt et al., 2017).”
Human intracranial correlates of dynamic coding in auditory working memory (2026, unknown): “…has been shifting from the “where” in the brain is WM maintained to the neurophysiological question of “how” neurons maintain information of WM content (Barak & Tsodyks, 2014; Christophel et al., 2017; D'Esposito & Postle, 2015; Miller, Lundqvist, & Bastos, 2018; Serences, 2016; Stokes, 2015).”
Theta-Phase Connectivity between Medial Prefrontal and Posterior Areas Underlies Novel Instructions Implementation (2022, background): “Although unexpected, this finding might be highlighting the recruitment of motor areas also for the declarative maintenance of SRs that will never have to be overtly executedsupporting the idea of distributed and content-specific maintenance substrates in WM (Christophel et al., 2017).”
Visual field map size constrains working memory precision (2026, unknown): “One argument for the relevance of V1 to memory storage is its ability to support fine-grained memoranda via its small receptive fields (Christophel et al., 2017), consonant with our finding that spatial working memory precision correlates with the size of V1.”
Alpha phase coding supports feature binding during working memory maintenance (2026, unknown): “…stimulus-selective regions that are responsible for perceiving that information 2,70 – 73 , as well as with the ‘ distributed system view ’ of WM 74,75 , which states that WM storage is distributed across multiple brain regions, among which both visual and parietal cortices play an important…”
Top-down selection of visual working memory contents is supported by alpha-band phase-synchronized oscillatory networks (2025, unknown): “…(PFC) activity ( Panichello & Buschman, 2021; Yu & Postle, 2021), it has remained under debate whether the representational functions arise within sensory cortices, the PFC, or from distributed activity ( Christophel et al., 2017; Li & Curtis, 2023; Mej í as & Wang, 2022; Yan et al., 2023).”
Distractor anticipation during working memory is associated with theta and beta oscillations across spatial scales (2024, unknown): “We ﬁrst computed Fourier spectra of LFP PC1 and EEG using the Chronux mtspectrumc function (range of frequency: 1 Hz–40 Hz; 7 Slepian tapers with a time-bandwidth product of 5; performed on single trials with zero-padding applied).”
Fronto-medial theta coordinates posterior maintenance of working memory content (2021, unknown): “However, decoding from frontal regions has been proposed to reflect a transformed representation, perhaps representing goal states or action plans rather than stimulus content per se.(58,59) In the present study, the motor response (‘‘match’’/‘‘non-match’’) was orthogonal to the stimulus category (‘”