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Activation and binding in verbal working memory: A dual-process model for the recognition of nonwords

Oberauer, Klaus; Lange, E (2009). Activation and binding in verbal working memory: A dual-process model for the recognition of nonwords. Cognitive Psychology, 58(1):102-136.

Abstract

The article presents a mathematical model of short-term recognition based on dual-process models and the three-component theory of working memory [Oberauer, K. (2002). Access to information in working memory: Exploring the focus of attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 411–421]. Familiarity arises from activated representations in long-term memory, ignoring their relations; recollection retrieves bindings in the capacity-limited component of working memory.
In three experiments participants encoded two short lists of nonwords for immediate recognition, one of which was then cued as irrelevant. Probes from the irrelevant list were rejected more slowly than new probes; this was also found with probes recombining letters of irrelevant nonwords, suggesting that familiarity arises from individual letters independent of their relations. When asked to accept probes whose letters were all in the relevant list, regardless of their conjunction, participants accepted probes preserving the original conjunctions faster than recombinations, showing that recollection accessed feature bindings automatically.
The model fit the data best when familiarity depended only on matching letters, whereas recollection used binding information.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Scopus Subject Areas:Social Sciences & Humanities > Neuropsychology and Physiological Psychology
Social Sciences & Humanities > Experimental and Cognitive Psychology
Social Sciences & Humanities > Developmental and Educational Psychology
Social Sciences & Humanities > Linguistics and Language
Physical Sciences > Artificial Intelligence
Language:English
Date:2009
Deposited On:21 Oct 2009 09:14
Last Modified:08 Jan 2025 04:30
Publisher:Elsevier
ISSN:0010-0285
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.cogpsych.2008.05.003

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