Matches in SemOpenAlex for { <https://semopenalex.org/work/W3116007421> ?p ?o ?g. }
- W3116007421 endingPage "104208" @default.
- W3116007421 startingPage "104208" @default.
- W3116007421 abstract "It is now firmly established that long-term memory knowledge, such as semantic knowledge, supports the temporary maintenance of verbal information in Working Memory (WM). This support from semantic knowledge is well-explained by models assuming that verbal items are directly activated in long-term memory, and that this activation provides the representational basis for WM maintenance. However, the exact mechanisms underlying semantic influence on WM performance remain poorly understood. We manipulated the presence of between-item semantic relatedness in an immediate serial recall task, by mixing triplets composed of semantically related and unrelated items (e.g. leaf – tree – branch – wall – beer – dog; hand – father – truck – cloud – sky – rain). Compared to unrelated items, related items were better recalled, as had been classically observed. Critically, semantic relatedness also impacted WM maintenance in a complex manner, as observed by the presence of proactive benefit effects on subsequent unrelated items, and the absence of retroactive effects. The complexity of these interactions is well-captured by TBRS*-S, a decay-based computational architecture in which the activation occurring in long-term memory is described. The present study suggests that semantic knowledge can be used to free up WM resources that can be reallocated for maintenance purposes, and supports models postulating that long-term memory knowledge constrains WM maintenance processes." @default.
- W3116007421 created "2021-01-05" @default.
- W3116007421 creator A5035395379 @default.
- W3116007421 creator A5054882517 @default.
- W3116007421 creator A5070070149 @default.
- W3116007421 date "2021-04-01" @default.
- W3116007421 modified "2023-10-13" @default.
- W3116007421 title "How does semantic knowledge impact working memory maintenance? Computational and behavioral investigations" @default.
- W3116007421 cites W1524319988 @default.
- W3116007421 cites W1688923196 @default.
- W3116007421 cites W1965170748 @default.
- W3116007421 cites W1967004086 @default.
- W3116007421 cites W1969035214 @default.
- W3116007421 cites W1970624555 @default.
- W3116007421 cites W1972580387 @default.
- W3116007421 cites W1974795908 @default.
- W3116007421 cites W1980695952 @default.
- W3116007421 cites W1981154968 @default.
- W3116007421 cites W1985931747 @default.
- W3116007421 cites W1986010321 @default.
- W3116007421 cites W1991435153 @default.
- W3116007421 cites W2001252256 @default.
- W3116007421 cites W2003025525 @default.
- W3116007421 cites W2003580155 @default.
- W3116007421 cites W2006186608 @default.
- W3116007421 cites W2008011521 @default.
- W3116007421 cites W2008235419 @default.
- W3116007421 cites W2011863919 @default.
- W3116007421 cites W2017058440 @default.
- W3116007421 cites W2020043099 @default.
- W3116007421 cites W2022052493 @default.
- W3116007421 cites W2022625505 @default.
- W3116007421 cites W2026577970 @default.
- W3116007421 cites W2042306742 @default.
- W3116007421 cites W2043113563 @default.
- W3116007421 cites W2045317581 @default.
- W3116007421 cites W2045815287 @default.
- W3116007421 cites W2046274205 @default.
- W3116007421 cites W2056761022 @default.
- W3116007421 cites W2058249424 @default.
- W3116007421 cites W2065639692 @default.
- W3116007421 cites W2073257493 @default.
- W3116007421 cites W2075302821 @default.
- W3116007421 cites W2076951423 @default.
- W3116007421 cites W2077279024 @default.
- W3116007421 cites W2089948141 @default.
- W3116007421 cites W2091066057 @default.
- W3116007421 cites W2092181737 @default.
- W3116007421 cites W2092991375 @default.
- W3116007421 cites W2094408289 @default.
- W3116007421 cites W2096867453 @default.
- W3116007421 cites W2104666576 @default.
- W3116007421 cites W2108713300 @default.
- W3116007421 cites W2110896769 @default.
- W3116007421 cites W2125395941 @default.
- W3116007421 cites W2135501961 @default.
- W3116007421 cites W2141528665 @default.
- W3116007421 cites W2151506431 @default.
- W3116007421 cites W2162751094 @default.
- W3116007421 cites W2165107985 @default.
- W3116007421 cites W2166667242 @default.
- W3116007421 cites W2168500367 @default.
- W3116007421 cites W2169244873 @default.
- W3116007421 cites W2177384579 @default.
- W3116007421 cites W2187089918 @default.
- W3116007421 cites W2223653696 @default.
- W3116007421 cites W2236615147 @default.
- W3116007421 cites W2295025549 @default.
- W3116007421 cites W2295447624 @default.
- W3116007421 cites W2341893892 @default.
- W3116007421 cites W2343327537 @default.
- W3116007421 cites W2409230515 @default.
- W3116007421 cites W2464388441 @default.
- W3116007421 cites W2509098533 @default.
- W3116007421 cites W2523475553 @default.
- W3116007421 cites W2560084183 @default.
- W3116007421 cites W2566866089 @default.
- W3116007421 cites W2602172828 @default.
- W3116007421 cites W2619402516 @default.
- W3116007421 cites W2749069611 @default.
- W3116007421 cites W2752990297 @default.
- W3116007421 cites W2762363326 @default.
- W3116007421 cites W2774486220 @default.
- W3116007421 cites W2791783703 @default.
- W3116007421 cites W2794936229 @default.
- W3116007421 cites W2804830482 @default.
- W3116007421 cites W2805413689 @default.
- W3116007421 cites W2954751616 @default.
- W3116007421 cites W2959202688 @default.
- W3116007421 cites W2963503898 @default.
- W3116007421 cites W3022184122 @default.
- W3116007421 cites W313647156 @default.
- W3116007421 cites W838268896 @default.
- W3116007421 doi "https://doi.org/10.1016/j.jml.2020.104208" @default.
- W3116007421 hasPublicationYear "2021" @default.
- W3116007421 type Work @default.
- W3116007421 sameAs 3116007421 @default.
- W3116007421 citedByCount "6" @default.