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Neural evidence for dynamic within-trial changes in allocation of visual attention
Visual Cognition ( IF 1.875 ) Pub Date : 2021-09-28 , DOI: 10.1080/13506285.2021.1918303
Tobias Feldmann-Wüstefeld 1
Affiliation  

ABSTRACT

In their article “Progress toward resolving the attentional capture debate”, Luck et al. (2021. Progress toward resolving the attentional capture debate. Visual Cognition, 29(1), 1–21.) aim at reconciling stimulus-driven, goal-driven and signal suppression accounts of visual attention. At the center of their model is a “control state” that determines activations on a priority map and thus under which circumstances a stimulus captures attention or can be suppressed. In this commentary I will outline neural evidence that suggests that various factors simultaneously affect the control state and that speak against a dichotomy of “attentional capture versus suppression.” For example, EEG studies using event-related potentials (ERPs) suggest that attention can be captured without suppression, that suppression can be applied reactively as a response to capture, and suppression can be proactively applied to prevent capture. ERP results furthermore suggest that different degrees of attentional enhancement and suppression are applied to stimuli and that attentional subprocesses are interdependent. This indicates that the priority map can change dynamically within a trial, and behavioral effects may be a snapshot of a specific distribution of resources on the priority map at a particular moment. I suggest that EEG measures can be used to quantify the relative contribution of attentional factors to determine attention deployment under those circumstances.



中文翻译:

视觉注意力分配动态试验内变化的神经证据

摘要

在他们的文章“解决注意力捕获争论的进展”中,Luck 等人。(2021 年。解决注意力捕获争论的进展。视觉认知29(1), 1-21.) 旨在调和视觉注意的刺激驱动、目标驱动和信号抑制帐户。他们模型的中心是一个“控制状态”,它确定优先级图上的激活,从而在何种情况下刺激引起注意或可以被抑制。在这篇评论中,我将概述神经证据,这些证据表明各种因素同时影响控制状态,并且反对“注意力捕获与抑制”的二分法。例如,使用事件相关电位 (ERP) 的 EEG 研究表明,可以在没有抑制的情况下捕获注意力,可以被动地应用抑制作为对捕获的响应,并且可以主动应用抑制来防止捕获。ERP 结果进一步表明,不同程度的注意增强和抑制被应用于刺激,并且注意子过程是相互依赖的。这表明优先级地图可以在一次试验中动态变化,行为效果可能是特定时刻优先级地图上特定资源分布的快照。我建议 EEG 测量可用于量化注意力因素的相对贡献,以确定在这些情况下的注意力部署。

更新日期:2021-10-19
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