Literature DB >> 24730738

In competition for the attentional template: can multiple items within visual working memory guide attention?

Dirk van Moorselaar1, Jan Theeuwes1, Christian N L Olivers1.   

Abstract

Recent studies have revealed that the deployment of attention can be biased by the content of visual working memory (VWM), but that stored memories do not always interact with attention. This has led to a model which proposes a division within VWM between a single active template that interacts with perception and multiple accessory representations that do not. The present study was designed to study whether multiple memory representations are able to bias attention. Participants performed a visual search task while maintaining a variable number of colors in VWM. Consistent with earlier findings, we observed increased attentional capture by memory related distractors when VWM was filled with a single item. However, memory related capture was no longer present for memory loads beyond a single item. The absence of memory related capture at higher VWM loads was independent of individual VWM capacity, nor was it attributable to weaker encoding, forgetting, or reduced precision of memory representations. When analyses were limited to those trials in which participants had a relatively precise memory, there was still no sign of attentional guidance at higher loads. However, when observers were cued toward a specific memory item after encoding, interference with search returned. These results are consistent with a distinction within VWM between representations that interact with perception and those that do not, and show that only a single VWM representation at a time can interact with visual attention.

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Mesh:

Year:  2014        PMID: 24730738     DOI: 10.1037/a0036229

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


  39 in total

1.  Multiple gates on working memory.

Authors:  Christopher H Chatham; David Badre
Journal:  Curr Opin Behav Sci       Date:  2015-02-01

2.  The architecture of interaction between visual working memory and visual attention.

Authors:  Brett Bahle; Valerie M Beck; Andrew Hollingworth
Journal:  J Exp Psychol Hum Percept Perform       Date:  2018-04-09       Impact factor: 3.332

3.  The reliability of retro-cues determines the fate of noncued visual working memory representations.

Authors:  Eren Gunseli; Dirk van Moorselaar; Martijn Meeter; Christian N L Olivers
Journal:  Psychon Bull Rev       Date:  2015-10

4.  Selection of Visual Objects in Perception and Working Memory One at a Time.

Authors:  Nina Thigpen; Nathan M Petro; Jessica Oschwald; Klaus Oberauer; Andreas Keil
Journal:  Psychol Sci       Date:  2019-07-19

5.  Introduction to the special issue on visual working memory.

Authors:  Jeremy M Wolfe
Journal:  Atten Percept Psychophys       Date:  2014-10       Impact factor: 2.199

6.  Neural Evidence for the Contribution of Active Suppression During Working Memory Filtering.

Authors:  Tobias Feldmann-Wüstefeld; Edward K Vogel
Journal:  Cereb Cortex       Date:  2019-02-01       Impact factor: 5.357

7.  Competition in saccade target selection reveals attentional guidance by simultaneously active working memory representations.

Authors:  Valerie M Beck; Andrew Hollingworth
Journal:  J Exp Psychol Hum Percept Perform       Date:  2017-02       Impact factor: 3.332

8.  Feature-based guidance of attention by visual working memory is applied independently of remembered object location.

Authors:  Andrew Hollingworth; Brett Bahle
Journal:  Atten Percept Psychophys       Date:  2020-01       Impact factor: 2.199

9.  Quantifying the Attentional Impact of Working Memory Matching Targets and Distractors.

Authors:  Nancy B Carlisle; Geoffrey F Woodman
Journal:  Vis cogn       Date:  2019-06-27

10.  Memory-based attention capture when multiple items are maintained in visual working memory.

Authors:  Andrew Hollingworth; Valerie M Beck
Journal:  J Exp Psychol Hum Percept Perform       Date:  2016-04-28       Impact factor: 3.332

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