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Measuring memory integration: A metric tapping memory representation ratherthan inference

Authors :
Yu, Wangjing
Yu, Wangjing
Schlichting, Margaret L.
Duncan, Katherine D.
Yu, Wangjing
Yu, Wangjing
Schlichting, Margaret L.
Duncan, Katherine D.
Source :
Proceedings of the Annual Meeting of the Cognitive Science Society; vol 42, iss 0
Publication Year :
2020

Abstract

Our ability to link related events could be supported either byconnecting their representations in memory, or by storing themseparately but integrating their content when later drawinginferences. Here, we adapted classic memory contingencyanalyses to develop and validate an integration index designedto tap stored representations. We conducted three pre-registered experiments adopting this metric. We found positiverecall dependency for associations experienced both within thesame and across different events. Compared to a conventionalinference test, we found that recall dependency was moresensitive to a manipulation of memory integration. Leveragingrecall dependency to investigate individual differencesrevealed that better memory for contextual detail wasassociated with faster inference judgments, consistent withhigh-fidelity representations of related memories—but only forpeople who tended to store memories separately. Ourapproach, thus, provides an important tool to illuminate howrelated events are represented in memory.

Details

Database :
OAIster
Journal :
Proceedings of the Annual Meeting of the Cognitive Science Society; vol 42, iss 0
Notes :
application/pdf, Proceedings of the Annual Meeting of the Cognitive Science Society vol 42, iss 0
Publication Type :
Electronic Resource
Accession number :
edsoai.on1449583297
Document Type :
Electronic Resource