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Global semantic similarity effects in recognition memory: Insights from BEAGLE representations and the diffusion decision model

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Abstract
Recognition memory models posit that false alarm rates increase as the global similarity between the probe cueand the contents of memory is increased. Global similarity predictions have been commonly tested using category length designs where it has been found that false alarm rates increase as the number of studied items froma common category is increased. In this work, we explored global similarity predictions within unstructured listsof words using representations from the BEAGLE model (Jones & Mewhort, 2007). BEAGLE differs from traditional semantic space models in that it contains two types of representations: item vectors, which encode unordered co-occurrence, and order vectors, in which words are similar to the extent to which they are shareneighboring words in the same relative positions. Global similarity among item and order vectors was regressedonto drift rates in the diffusion decision model (DDM: Ratcliff, 1978), which unifies both response times andaccuracy. We implemented this model in a hierarchical Bayesian framework across seven datasets with listscomposed of unrelated words. Results indicated clear deficits due to global similarity among item vectors, butonly a minimal impact of global similarity among the order vectors. We also found evidence for a linear relationship between global similarity and drift rate and did not find any evidence that global similarity differentially affected performance in speed vs. accuracy emphasis conditions. In addition, we found that globalsemantic similarity could only partially account for the word frequency effect, suggesting that other factorsbesides semantic similarity may be responsible.
Item Type: | Article |
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Authors/Creators: | Osth, AF and Shabahang, KD and Mewhort, DJK and Heathcote, A |
Keywords: | recognition memory, semantic similarity, semantic space models, diffusion decision model |
Journal or Publication Title: | Journal of Memory and Language |
Publisher: | Academic Press Inc Elsevier Science |
ISSN: | 0749-596X |
DOI / ID Number: | 10.1016/j.jml.2019.104071 |
Copyright Information: | © 2019 Elsevier Inc. All rights reserved. |
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