Modeling a recognition memory task to investigate differences in working memory

Authors
Buss, Ryan
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Other Contributors
Gray, Wayne D., 1950-
Schoelles, Michael J.
Kalsher, Michael J.
Issue Date
2013-12
Keywords
Cognitive science
Degree
MS
Terms of Use
Attribution-NonCommercial-NoDerivs 3.0 United States
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Investigating the sources of individual differences in human working memory, Oztekin and McElree (2010) used subject performance in a recognition memory task to argue that the interplay between item familiarity information and episodic retrieval information marked an important difference between individuals with high and low working memory spans. However, they were unable to adjudicate between several hypotheses about the precise sources of those differences. We developed a computational cognitive model using the ACT-R architecture that performed a replication of recognition memory task, and attempted to fit model performance to Oztekin and McElree's human data through parameter changes to the model and the addition of a new recognition memory module. The model was able to produce performance that approximated that of the high span subjects, but had limited success matching low span subject performance. Importantly, parameter changes that produced slower memory retrievals, which was among Oztekin and McElree's hypotheses, were insufficient to produce model performance matching that of low span subjects. This constitutes evidence that a primary difference between high and low span subjects lies in the conflict resolution between familiarity and episodic recall, as opposed to differences in episodic recall initiation or completion time.
Description
December 2013
School of Humanities, Arts, and Social Sciences
Department
Dept. of Cognitive Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
CC BY-NC-ND. Users may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.