Working memory updating latency reflects the cost of switching between maintenance and updating modes of operation

Yoav Kessler, Klaus Oberauer

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

Updating and maintenance of information are 2 conflicting demands on working memory (WM). We examined the time required to update WM (updating latency) as a function of the sequence of updated and not-updated items within a list. Participants held a list of items in WM and updated a variable subset of them in each trial. Four experiments that vary the number of to-be-updated and to-be-maintained items, as well as their positions in the list, are reported. The pattern of latencies was best explained by a model assuming forward scanning of the list, updating modified items, and maintaining nonmodified items. Switching between updating and maintenance incurred a response time cost, which increased with overall set-size. The formation of new item-position associations accounted for an additional response time component. The finding of an update-switch cost provides novel behavioral support for a class of physiologically inspired computational models, in which updating and maintenance require 2 different states of WM.

Original languageEnglish
Pages (from-to)738-753
Number of pages16
JournalJournal of Experimental Psychology: Learning Memory and Cognition
Volume40
Issue number3
DOIs
StatePublished - 1 Jan 2014

Keywords

  • Gating
  • Maintenance
  • Switching
  • Updating
  • Working memory

Fingerprint

Dive into the research topics of 'Working memory updating latency reflects the cost of switching between maintenance and updating modes of operation'. Together they form a unique fingerprint.

Cite this