2020
DOI: 10.1016/j.cognition.2020.104278
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The varying nature of semantic effects in working memory

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Cited by 24 publications
(50 citation statements)
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References 81 publications
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“…This dataset was used to assess the model's ability to reproduce the overall impact of semantic relatedness on serial recall performance and order recall performance. It is wellestablished that semantic relatedness strongly enhances recall performance at the item level (see Kowialiewski and Majerus, 2020 for a meta-analysis). Semantic relatedness has also a small deleterious impact on the ability to recall serial order information, even though the effect is subtle (see also Ishiguro and Saito, 2020).…”
Section: Architecturementioning
confidence: 99%
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“…This dataset was used to assess the model's ability to reproduce the overall impact of semantic relatedness on serial recall performance and order recall performance. It is wellestablished that semantic relatedness strongly enhances recall performance at the item level (see Kowialiewski and Majerus, 2020 for a meta-analysis). Semantic relatedness has also a small deleterious impact on the ability to recall serial order information, even though the effect is subtle (see also Ishiguro and Saito, 2020).…”
Section: Architecturementioning
confidence: 99%
“…Accordingly, we expect the architecture to have little or no impact on order recall performance. We used the data reported in Kowialiewski and Majerus (2020), where they manipulated the semantic relatedness on six-item lists under interfering conditions or under immediate serial recall tasks. Only the results from the latter condition were reported.…”
Section: Architecturementioning
confidence: 99%
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“…The extended redintegration theory adopted the redintegration process from the original redintegration theory and further broadened the original theory to include semantic similarity effects in its theoretical scope by assuming two additional mechanisms: spreading activation in associative networks and cuing by additional retrieval cues. Positing pre-experimental associations between words in similar word lists (e.g., the association between "cat" and "dog" or that between "climb" and "peak"), Tse (2009) suggested that encoding/retrieval of a word activates representations of other words associated with that word (for a similar idea, see Kowialiewski & Majerus, 2020). Such spreading activation in associative networks is thought to facilitate the redintegration process.…”
Section: Observations and Explanations Of Semantic Similaritymentioning
confidence: 99%