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The structure of semantic representation shapes controlled semantic retrieval

Bibliographic Data

ID21601971
AuthorsMartin Marko (0000-0003-1473-1616, Department of Behavioural Neuroscience, Institute of Normal and Pathological Physiology, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia), Igor Riečanský (0000-0002-4211-8993, Department of Behavioural Neuroscience, Institute of Normal and Pathological Physiology, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia, corresponding author)
Year2021
Volume29
Issue4
Pages538-546
Publication date2021-04-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMemory (JOURNAL)
Journal identifiersISSN: 0965-8211 • E-ISSN: 1464-0686
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09658211.2021.1906905
PMID33847254
OpenAlexW3155271600
LanguageEN
Citations received8
References cited57

An essential aim in the research on semantic cognition is to understand the interplay between the structure of semantic representation and controlled processes that operate on it to generate flexible behaviours. To evaluate the link between semantic network connectivity and semantic control functions (semantic inhibition and switching), we employed a network theory approach and revealed that controlled semantic processing was reliably associated with connectivity of conceptual representation. In particular, our results show that efficient information flow afforded by high connectivity of semantic network is coupled with superior switching but poor inhibition ability. These findings suggest that the network architectures that facilitate efficient semantic activation spreading aid flexible transitions between semantic clusters but impede inhibition employed to suppress inappropriate or interfering semantic representations. Overall, our study provides a novel insight into the mechanisms underlying controlled semantic processing that is recruited to disentangle from habitual structure of semantic representation

Cognition · Information retrieval · Natural language processing · Semantic compression · Semantic computing · Semantic grid · Semantic integration · Semantic memory · Semantic network · Semantic similarity · Semantic technology · Semantic Web · Advanced Memory and Neural Computing · Computer Science · EEG and Brain-Computer Interfaces · Neural dynamics and brain function · Neuroscience · Psychology · Artificial Intelligence

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Unique citing works8
Citations per year2,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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