Literature DB >> 20718564

Statistical learning induces discrete shifts in the allocation of working memory resources.

Akina Umemoto1, Miranda Scolari, Edward K Vogel, Edward Awh.   

Abstract

Observers can voluntarily select which items are encoded into working memory, and the efficiency of this process strongly predicts memory capacity. Nevertheless, the present work suggests that voluntary intentions do not exclusively determine what is encoded into this online workspace. Observers indicated whether any items from a briefly stored sample display had changed. Unbeknown to observers, these changes were most likely to occur in a specific quadrant of the display (the dominant quadrant). Across 84 subjects and 5 groups of observers, change detection accuracy was significantly higher for items in the dominant quadrant, suggesting that memory encoding was biased towards the dominant quadrant. Only 9 of the 84 subjects were able to correctly specify the dominant quadrant when asked whether any location was more likely to contain the changed item, but more sensitive forced-choice procedures did reveal above-chance discrimination of the dominant quadrant. Nevertheless, because forced choice performance was unrelated to the size of the bias and no observer reported a biased encoding strategy, the bias was unlikely to depend on voluntary encoding strategies. The encoding bias was not due to a reduction in the response threshold for indicating changes in the dominant quadrant (Experiment 2). Finally, separate measures of the number and resolution of the representations in memory suggested that encoding was biased in a discrete slot-based fashion (Experiment 3). That is, although items in the dominant quadrant were more likely to be encoded into memory, mnemonic resolution for the favored items was not affected.

Entities:  

Mesh:

Year:  2010        PMID: 20718564      PMCID: PMC2990794          DOI: 10.1037/a0019324

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  46 in total

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3.  Spatial context learning in visual search and change detection.

Authors:  Yuhong Jiang; Joo-Hyun Song
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4.  Spatial probability as an attentional cue in visual search.

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5.  The time course of consolidation in visual working memory.

Authors:  Edward K Vogel; Geoffrey F Woodman; Steven J Luck
Journal:  J Exp Psychol Hum Percept Perform       Date:  2006-12       Impact factor: 3.332

6.  Discrete fixed-resolution representations in visual working memory.

Authors:  Weiwei Zhang; Steven J Luck
Journal:  Nature       Date:  2008-04-02       Impact factor: 49.962

7.  Neural measures reveal individual differences in controlling access to working memory.

Authors:  Edward K Vogel; Andrew W McCollough; Maro G Machizawa
Journal:  Nature       Date:  2005-11-24       Impact factor: 49.962

8.  Associative learning improves visual working memory performance.

Authors:  Ingrid R Olson; Yuhong Jiang; Katherine Sledge Moore
Journal:  J Exp Psychol Hum Percept Perform       Date:  2005-10       Impact factor: 3.332

9.  Dynamic shifts of limited working memory resources in human vision.

Authors:  Paul M Bays; Masud Husain
Journal:  Science       Date:  2008-08-08       Impact factor: 47.728

10.  Discrete resource allocation in visual working memory.

Authors:  Brian Barton; Edward F Ester; Edward Awh
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-10       Impact factor: 3.332

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  20 in total

1.  Guidance of spatial attention by incidental learning and endogenous cuing.

Authors:  Yuhong V Jiang; Khena M Swallow; Gail M Rosenbaum
Journal:  J Exp Psychol Hum Percept Perform       Date:  2012-04-16       Impact factor: 3.332

2.  Rapid acquisition but slow extinction of an attentional bias in space.

Authors:  Yuhong V Jiang; Khena M Swallow; Gail M Rosenbaum; Chelsey Herzig
Journal:  J Exp Psychol Hum Percept Perform       Date:  2012-03-19       Impact factor: 3.332

3.  Spatial reference frame of attention in a large outdoor environment.

Authors:  Yuhong V Jiang; Bo-Yeong Won; Khena M Swallow; Dominic M Mussack
Journal:  J Exp Psychol Hum Percept Perform       Date:  2014-05-19       Impact factor: 3.332

4.  Spatial working memory interferes with explicit, but not probabilistic cuing of spatial attention.

Authors:  Bo-Yeong Won; Yuhong V Jiang
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2014-11-17       Impact factor: 3.051

5.  "Memory compression" effects in visual working memory are contingent on explicit long-term memory.

Authors:  William X Q Ngiam; James A Brissenden; Edward Awh
Journal:  J Exp Psychol Gen       Date:  2019-08

6.  Spatial scale, rather than nature of task or locomotion, modulates the spatial reference frame of attention.

Authors:  Yuhong V Jiang; Bo-Yeong Won
Journal:  J Exp Psychol Hum Percept Perform       Date:  2015-04-13       Impact factor: 3.332

7.  Changing viewer perspectives reveals constraints to implicit visual statistical learning.

Authors:  Yuhong V Jiang; Khena M Swallow
Journal:  J Vis       Date:  2014-10-07       Impact factor: 2.240

8.  First saccadic eye movement reveals persistent attentional guidance by implicit learning.

Authors:  Yuhong V Jiang; Bo-Yeong Won; Khena M Swallow
Journal:  J Exp Psychol Hum Percept Perform       Date:  2014-02-10       Impact factor: 3.332

9.  Attention is spontaneously biased toward regularities.

Authors:  Jiaying Zhao; Naseem Al-Aidroos; Nicholas B Turk-Browne
Journal:  Psychol Sci       Date:  2013-04-04

10.  Sequential dynamics in visual short-term memory.

Authors:  Wouter Kool; Andrew R A Conway; Nicholas B Turk-Browne
Journal:  Atten Percept Psychophys       Date:  2014-10       Impact factor: 2.199

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