Retrieval from long-term memory reduces working memory representations for visual features and their bindings.
The ability to remember feature bindings is an important measure of the ability to maintain objects in working memory (WM). In this study, we investigated whether both object- and feature-based representations are maintained in WM. Specifically, we tested the hypotheses that retaining a greater numb...
| Publicado en: | Memory & Cognition Vol. 43; no. 2; pp. 237 - 247 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Feb2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=100989672&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 100989672 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0090502X MEG jtl: Memory & Cognition issn: 0090502X maglogo: N pubinfo: dt: Feb2015 vid: 43 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 100989672 10.3758/s13421-014-0468-0 ppf: 237 ppct: 10 formats: fmt: @attributes: type: P size: 388KB tig: atl: Retrieval from long-term memory reduces working memory representations for visual features and their bindings. aug: au: Lamsweerde, Amanda Beck, Melissa Elliott, Emily affil: Louisiana State University, Baton Rouge USA su: Analysis of variance Memory Task performance Statistical sampling Repeated measures design Data analysis software Descriptive statistics sug: subj: Analysis of variance Memory Task performance Marketing Research and Public Opinion Polling Statistical sampling Repeated measures design Data analysis software Descriptive statistics keyword: Binding Features Objects Short-term memory Working memory Binding Features Objects Short-term memory Working memory ab: The ability to remember feature bindings is an important measure of the ability to maintain objects in working memory (WM). In this study, we investigated whether both object- and feature-based representations are maintained in WM. Specifically, we tested the hypotheses that retaining a greater number of feature representations (i.e., both as individual features and bound representations) results in a more robust representation of individual features than of feature bindings, and that retrieving information from long-term memory (LTM) into WM would cause a greater disruption to feature bindings. In four experiments, we examined the effects of retrieving a word from LTM on shape and color-shape binding change detection performance. We found that binding changes were more difficult to detect than individual-feature changes overall, but that the cost of retrieving a word from LTM was the same for both individual-feature and binding changes. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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