No evidence for an item limit in change detection.

Change detection is a classic paradigm that has been used for decades to argue that working memory can hold no more than a fixed number of items ("item-limit models"). Recent findings force us to consider the alternative view that working memory is limited by the precision in stimulus enco...

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Autores principales:	Shaiyan Keshvari, Ronald van den Berg, Wei Ji Ma
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/62a79cf5aa814ec1adcfc33bb1aed4c4
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id	oai:doaj.org-article:62a79cf5aa814ec1adcfc33bb1aed4c4
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spelling	oai:doaj.org-article:62a79cf5aa814ec1adcfc33bb1aed4c42021-11-18T05:52:24ZNo evidence for an item limit in change detection.1553-734X1553-735810.1371/journal.pcbi.1002927https://doaj.org/article/62a79cf5aa814ec1adcfc33bb1aed4c42013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23468613/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Change detection is a classic paradigm that has been used for decades to argue that working memory can hold no more than a fixed number of items ("item-limit models"). Recent findings force us to consider the alternative view that working memory is limited by the precision in stimulus encoding, with mean precision decreasing with increasing set size ("continuous-resource models"). Most previous studies that used the change detection paradigm have ignored effects of limited encoding precision by using highly discriminable stimuli and only large changes. We conducted two change detection experiments (orientation and color) in which change magnitudes were drawn from a wide range, including small changes. In a rigorous comparison of five models, we found no evidence of an item limit. Instead, human change detection performance was best explained by a continuous-resource model in which encoding precision is variable across items and trials even at a given set size. This model accounts for comparison errors in a principled, probabilistic manner. Our findings sharply challenge the theoretical basis for most neural studies of working memory capacity.Shaiyan KeshvariRonald van den BergWei Ji MaPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 9, Iss 2, p e1002927 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Shaiyan Keshvari Ronald van den Berg Wei Ji Ma No evidence for an item limit in change detection.
description	Change detection is a classic paradigm that has been used for decades to argue that working memory can hold no more than a fixed number of items ("item-limit models"). Recent findings force us to consider the alternative view that working memory is limited by the precision in stimulus encoding, with mean precision decreasing with increasing set size ("continuous-resource models"). Most previous studies that used the change detection paradigm have ignored effects of limited encoding precision by using highly discriminable stimuli and only large changes. We conducted two change detection experiments (orientation and color) in which change magnitudes were drawn from a wide range, including small changes. In a rigorous comparison of five models, we found no evidence of an item limit. Instead, human change detection performance was best explained by a continuous-resource model in which encoding precision is variable across items and trials even at a given set size. This model accounts for comparison errors in a principled, probabilistic manner. Our findings sharply challenge the theoretical basis for most neural studies of working memory capacity.
format	article
author	Shaiyan Keshvari Ronald van den Berg Wei Ji Ma
author_facet	Shaiyan Keshvari Ronald van den Berg Wei Ji Ma
author_sort	Shaiyan Keshvari
title	No evidence for an item limit in change detection.
title_short	No evidence for an item limit in change detection.
title_full	No evidence for an item limit in change detection.
title_fullStr	No evidence for an item limit in change detection.
title_full_unstemmed	No evidence for an item limit in change detection.
title_sort	no evidence for an item limit in change detection.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/62a79cf5aa814ec1adcfc33bb1aed4c4
work_keys_str_mv	AT shaiyankeshvari noevidenceforanitemlimitinchangedetection AT ronaldvandenberg noevidenceforanitemlimitinchangedetection AT weijima noevidenceforanitemlimitinchangedetection
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No evidence for an item limit in change detection.

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