Attentional capture by working memory contents.

2010 ◽  
Vol 64 (2) ◽  
pp. 124-128 ◽  
Author(s):  
Yi Pan
Keyword(s):  
Working Memory ◽  
Attentional Capture ◽  
Memory Contents

Working Memory-Driven Attention in Real-World Search

Perception ◽  
2018 ◽  
Vol 47 (9) ◽  
pp. 966-975 ◽  
Author(s):  
Shinyoung Jung ◽  
Yosun Yoon ◽  
Suk Won Han
Keyword(s):  
Working Memory ◽  
Attentional Capture ◽  
Real World ◽  
Target Object ◽  
Visual Object ◽  
Indoor Scenes ◽  
Bias Attention ◽  
Memory Contents ◽  
Online Catalogue ◽  
World Environment

People’s attention is well attracted to stimuli matching their working memory. This memory-driven attentional capture has been demonstrated in simplified and controlled laboratory settings. The present study investigated whether working memory contents capture attention in a setting that closely resembles real-world environment. In the experiment, participants performed a task of searching for a target object in real-world indoor scenes, while maintaining a visual object in working memory. To create a setting similar to real-world environment, images taken from IKEA®’s online catalogue were used. The results showed that participants’ attention was biased toward a working memory-matching object, interfering with the target search. This was so even when participants did not expect that a memory-matching stimulus would appear in the search array. These results suggest that working memory can bias attention in complex, natural environment and this memory-driven attentional capture in real-world setting takes place in an automatic manner.

The Attentional Capture of Internet Addicts under the Guidance of Visual Working Memory

2015 ◽  
Vol 47 (10) ◽  
pp. 1223 ◽  
Author(s):  
Wei ZHANG ◽  
Bingping ZHOU ◽  
Ling ZANG ◽  
Shuliang MO
Keyword(s):  
Working Memory ◽  
Visual Working Memory ◽  
Attentional Capture

scholarly journals Neural Dynamics of Cognitive Control over Working Memory Capture of Attention

2019 ◽  
Vol 31 (7) ◽  
pp. 1079-1090 ◽  
Author(s):  
Peter S. Whitehead ◽  
Mathilde M. Ooi ◽  
Tobias Egner ◽  
Marty G. Woldorff
Keyword(s):  
Working Memory ◽  
Visual Search ◽  
Cognitive Control ◽  
Attentional Capture ◽  
Search Display ◽  
Neural Mechanisms ◽  
High Temporal Resolution ◽  
Control Mechanisms ◽  
Attentional Orienting ◽  
Behavioral Studies

The contents of working memory (WM) guide visual attention toward matching features, with visual search being faster when the target and a feature of an item held in WM spatially overlap (validly cued) than when they occur at different locations (invalidly cued). Recent behavioral studies have indicated that attentional capture by WM content can be modulated by cognitive control: When WM cues are reliably helpful to visual search (predictably valid), capture is enhanced, but when reliably detrimental (predictably invalid), capture is attenuated. The neural mechanisms underlying this effect are not well understood, however. Here, we leveraged the high temporal resolution of ERPs time-locked to the onset of the search display to determine how and at what processing stage cognitive control modulates the search process. We manipulated predictability by grouping trials into unpredictable (50% valid/invalid) and predictable (100% valid, 100% invalid) blocks. Behavioral results confirmed that predictability modulated WM-related capture. Comparison of ERPs to the search arrays showed that the N2pc, a posteriorly distributed signature of initial attentional orienting toward a lateralized target, was not impacted by target validity predictability. However, a longer latency, more anterior, lateralized effect—here, termed the “contralateral attention-related negativity”—was reduced under predictable conditions. This reduction interacted with validity, with substantially greater reduction for invalid than valid trials. These data suggest cognitive control over attentional capture by WM content does not affect the initial attentional-orienting process but can reduce the need to marshal later control mechanisms for processing relevant items in the visual world.

scholarly journals Impaired Contingent Attentional Capture Predicts Reduced Working Memory Capacity in Schizophrenia

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e48586 ◽  
Author(s):  
Jutta S. Mayer ◽  
Keisuke Fukuda ◽  
Edward K. Vogel ◽  
Sohee Park
Keyword(s):  
Working Memory ◽  
Attentional Capture ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Contingent Attentional Capture

scholarly journals Fronto-medial theta coordinates posterior maintenance of working memory content

2021 ◽  
Author(s):  
Oliver Ratcliffe ◽  
Kimron Shapiro ◽  
Bernhard P. Staresina
Keyword(s):  
Working Memory ◽  
Computational Models ◽  
Medial Cortex ◽  
Duty Cycles ◽  
Machine Learning Approach ◽  
Theta Frequency ◽  
Oscillatory Power ◽  
Posterior Parietal ◽  
Memory Content ◽  
Memory Contents

AbstractHow does the human brain manage multiple bits of information to guide goal-directed behaviour? Successful working memory (WM) functioning has consistently been linked to oscillatory power in the theta frequency band (4-8 Hz) over fronto-medial cortex (fronto-medial theta, FMT). Specifically, FMT is thought to reflect the mechanism of an executive sub-system that coordinates maintenance of memory contents in posterior regions. However, direct evidence for the role of FMT in controlling specific WM content is lacking. Here we collected high-density Electroencephalography (EEG) data whilst participants engaged in load-varying WM tasks and then used multivariate decoding methods to examine WM content during the maintenance period. Higher WM load elicited a focal increase in FMT. Importantly, decoding of WM content was driven by posterior/parietal sites, which in turn showed load-induced functional theta coupling with fronto-medial cortex. Finally, we observed a significant slowing of FMT frequency with increasing WM load, consistent with the hypothesised broadening of a theta ‘duty cycle’ to accommodate additional WM items. Together these findings demonstrate that frontal theta orchestrates posterior maintenance of WM content. Moreover, the observed frequency slowing elucidates the function of FMT oscillations by specifically supporting phase-coding accounts of WM.Significance StatementHow does the brain juggle the maintenance of multiple items in working memory (WM)? Here we show that increased WM demands increase theta power (4-8 Hz) in fronto-medial cortex. Interestingly, using a machine learning approach, we found that the content held in WM could be read out not from frontal, but from posterior areas. These areas were in turn functionally coupled with fronto-medial cortex, consistent with the idea that frontal cortex orchestrates WM representations in posterior regions. Finally, we observed that holding an additional item in WM leads to significant slowing of the frontal theta rhythm, supporting computational models that postulate longer ‘duty cycles’ to accommodate additional WM demands.

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