scholarly journals Memory-guided saccading and letter encoding in visual working memory share attentional resources: Evidence from SOA-based interference effects

2012 ◽  
Vol 12 (9) ◽  
pp. 1332-1332
Author(s):  
G. Griffiths ◽  
W. X. Schneider
Keyword(s):  
Working Memory ◽  
Visual Working Memory ◽  
Interference Effects ◽  
Attentional Resources

scholarly journals Shared resources between visual attention and visual working memory are allocated through rhythmic sampling

2019 ◽  
Author(s):  
Elio Balestrieri ◽  
Luca Ronconi ◽  
David Melcher
Keyword(s):  
Working Memory ◽  
Visual Working Memory ◽  
Visual Information ◽  
Visual Stimulation ◽  
Time Windows ◽  
Detection Task ◽  
Detection Performance ◽  
Human Cognition ◽  
Attentional Resources ◽  
Oscillatory Pattern

AbstractAttention and Visual Working Memory (VWM) are among the most theoretically detailed and empirically tested constructs in human cognition. Nevertheless, the nature of the interrelation between selective attention and VWM still presents a fundamental controversy: do they rely on the same cognitive resources or not? The present study aims at disentangling this issue by capitalizing on recent evidence showing that attention is a rhythmic phenomenon, oscillating over short time windows. Using a dual-task approach, we combined a classic VWM task with a detection task in which we densely sampled detection performance during the time between the memory and the test array. Our results show that an increment in VWM load was related to a worse detection of near threshold visual stimuli and, importantly, to the presence of an oscillatory pattern in detection performance at ∼5 Hz. Furthermore, our findings suggest that the frequency of this sampling rhythm changes according to the strategic allocation of attentional resources to either the VWM or the detection task. This pattern of results is consistent with a central sampling attentional rhythm which allocates shared attentional resources both to the flow of external visual stimulation and also to the internal maintenance of visual information.

Movement and Attention in Visual Working Memory

1986 ◽  
Vol 38 (4) ◽  
pp. 689-703 ◽  
Author(s):  
J. G. Quinn ◽  
G. E. Ralston
Keyword(s):  
Working Memory ◽  
Eye Movements ◽  
Visual Working Memory ◽  
Arm Movements ◽  
Spatial Code ◽  
Performance Decrement ◽  
Interference Effects ◽  
Initial Information ◽  
Per Se ◽  
A Performance

Three experiments that adopt an interference technique to investigate the involvement of movement in the production of a spatial code are described. Arm movements rather than the more commonly employed eye movements are used to provide initial information about the sorts of movements relevant to the code and to allow an empirical separation of the contributions of movement and attention. The results confirm the interference effects of incompatible movement on the generation of the spatial code and show that movement per se rather than attention to the movement can cause a performance decrement.

The effects of colour complexity and similarity on multiple object tracking performance

2018 ◽  
Vol 72 (8) ◽  
pp. 1903-1912 ◽  
Author(s):  
Chundi Wang ◽  
Luming Hu ◽  
Thomas Talhelm ◽  
Xuemin Zhang
Keyword(s):  
Working Memory ◽  
Object Tracking ◽  
Visual Working Memory ◽  
Multiple Object Tracking ◽  
Tracking Performance ◽  
Surface Features ◽  
Attentional Resources ◽  
Multiple Object ◽  
Target Set ◽  
Distinct Features

Surface features can be used during multiple object tracking (MOT). Previous studies suggested that surface features might be stored in visual working memory to assist object tracking, and attentive tracking and visual working memory share common attentional resources. However, it is still unknown whether features of both the target and distractor sets will be stored, or features of the target and distractor sets are processed differently. Moreover, how feature distinctiveness and similarity between the target and distractor sets affect tracking and allocation of attentional resources are still not clear. First, we manipulated the colour complexity of the target set (CT) and the colour complexity of the distractor set (CD), respectively, in two experiments, where colours of the target and distractor sets were always distinct, to test their effects on tracking performance. If features of the target and distractor sets are stored, manipulating feature complexity of the target and distractor sets would significantly affect tracking performance. Second, this study tested whether tracking performance was affected by different levels of distinctiveness between the target and distractor sets (DTD) and explored how distinctiveness affected tracking and allocation of attentional resources. Results showed that DTD and CT significantly affect tracking performance and allocation of attentional resources, but not CD. These results indicated that when targets and distractors have distinct features, only the surface features of the targets are maintained in visual working memory. And when targets have the same colour with the distractors, they are more difficult and consume more attentional resources to track.

Sign in / Sign up

Export Citation Format

Share Document