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Exploring Decision Rules and Sampling Dynamics in Recognition Memory

  • Indiana University Bloomington

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Cox and Shiffrin (2012) introduced a dynamic model of recognition memory that was capable of making simultaneous predictions for accuracy and mean response time. The present paper extends that work by investigating the assumptions underlying the model’s decision process, in particular those pertaining to the process by which features are sampled at test and the processes by which evidence for an “old”/“new” recognition decision accumulates. These assumptions are tested against empirically collected response time distributions. Evidence is found that sampling dynamics can change in response to instructions, and that competition between accumulators for “old” and “new” evidence is not necessary to capture at least the recognition data presented here.

Original languageEnglish
Title of host publicationBuilding Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012
EditorsNaomi Miyake, David Peebles, Richard P. Cooper
PublisherThe Cognitive Science Society
Pages264-269
Number of pages6
ISBN (Electronic)9780976831884
StatePublished - 2012
Event34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012 - Sapporo, Japan
Duration: Aug 1 2012Aug 4 2012

Publication series

NameBuilding Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012

Conference

Conference34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012
Country/TerritoryJapan
CitySapporo
Period08/1/1208/4/12

Keywords

  • Recognition memory
  • memory models
  • response time

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