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

Citation

Osth, AF and Shabahang, KD and Mewhort, DJK and Heathcote, A, Global semantic similarity effects in recognition memory: insights from BEAGLE representations and the diffusion decision model, Journal of Memory and Language, 111 Article 104071. ISSN 0749-596X (2020) [Refereed Article]

Copyright Statement

2019 Elsevier Inc. All rights reserved.

DOI: doi:10.1016/j.jml.2019.104071

Abstract

Recognition memory models posit that false alarm rates increase as the global similarity between the probe cue and 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 from a common category is increased. In this work, we explored global similarity predictions within unstructured lists of 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 share neighboring words in the same relative positions. Global similarity among item and order vectors was regressed onto drift rates in the diffusion decision model (DDM: Ratcliff, 1978), which unifies both response times and accuracy. We implemented this model in a hierarchical Bayesian framework across seven datasets with lists composed of unrelated words. Results indicated clear deficits due to global similarity among item vectors, but only 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 global semantic similarity could only partially account for the word frequency effect, suggesting that other factors besides semantic similarity may be responsible.

Item Details

Item Type:Refereed Article
Keywords:recognition memory, semantic similarity, semantic space models, diffusion decision model
Research Division:Psychology
Research Group:Cognitive and computational psychology
Research Field:Memory and attention
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in psychology
UTAS Author:Heathcote, A (Professor Andrew Heathcote)
ID Code:140328
Year Published:2020
Web of Science® Times Cited:2
Deposited By:Psychology
Deposited On:2020-08-07
Last Modified:2021-02-17
Downloads:0

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