Fast Memory Integration Facilitated by Schema Consistency

Qiong Zhang, Vencislav Popov, Griffin E. Koch, Regina C. Calloway, Marc N. Coutanche

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Many everyday decisions are based not only on memories of direct experiences, but on memories that are integrated across multiple distinct experiences. Sometimes memory integration between existing memories and newly learnt information occurs rapidly, without requiring inference during the decision. It is known that prior knowledge (i.e. schema) affects the initial acquisition, and consolidation, of memories. In this study, we explore the effect of schema on the integration of acquired memories between paired associates (e.g. integrating A-B and B-C into A-B-C) that were schema consistent or inconsistent, as confirmed with a latent semantic analysis of text corpora. We find that enabling fast learning, by using material that is consistent with a schema, allows for fast memory integration. These behavioral results are consistent with predictions generated from neuroscientific hypotheses suggesting that an existing schema might enable neocortical learning that is distinct from a more explicit hippocampus-mediated integration of new information.

Original languageEnglish (US)
Title of host publicationProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018
PublisherThe Cognitive Science Society
Pages2777-2782
Number of pages6
ISBN (Electronic)9780991196784
StatePublished - 2018
Externally publishedYes
Event40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018 - Madison, United States
Duration: Jul 25 2018Jul 28 2018

Publication series

NameProceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018

Conference

Conference40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018
Country/TerritoryUnited States
CityMadison
Period7/25/187/28/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • Complementary learning system
  • Integrative encoding
  • Memory integration
  • Schema

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