A note on the identification of change detection task models to measure storage capacity and attention in visual working memory.
Attention
Memory
Model identification
Journal
Behavior research methods
ISSN: 1554-3528
Titre abrégé: Behav Res Methods
Pays: United States
ID NLM: 101244316
Informations de publication
Date de publication:
06 2019
06 2019
Historique:
pubmed:
5
8
2018
medline:
29
10
2019
entrez:
5
8
2018
Statut:
ppublish
Résumé
The change detection task is a common method for assessing the storage capacity of working memory, but estimates of memory capacity from this task can be distorted by lapses of attention. When combined with appropriate mathematical models, some versions of the change detection task make it possible to separately estimate working memory and the probability of attentional lapses. In principle, these models should allow researchers to isolate the effects of experimental manipulations, group differences, and individual differences on working memory capacity and on the rate of attentional lapses. However, the present research found that two variants of a widely accepted model of the change detection task are not mathematically identified.
Identifiants
pubmed: 30076533
doi: 10.3758/s13428-018-1082-z
pii: 10.3758/s13428-018-1082-z
pmc: PMC6360143
mid: NIHMS985679
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1360-1370Subventions
Organisme : NIMH NIH HHS
ID : R01 MH065034
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH076226
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH084821
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH084861
Pays : United States
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