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自上而下的注意力仅在特征维度内受限,而不在特征维度间受限。

Top-Down Attention Is Limited Within but Not Between Feature Dimensions.

机构信息

University of Aberdeen.

出版信息

J Cogn Neurosci. 2019 Aug;31(8):1173-1183. doi: 10.1162/jocn_a_01383. Epub 2019 Feb 22.

Abstract

In natural vision, processing of spatial and nonspatial features occurs simultaneously; however, the two types of attention in charge of facilitating this processing have distinct mechanisms. Here, we tested the independence of spatial and feature-based attention at different stages of visual processing by examining color-based attentional selection while spatial attention was focused or divided. Human observers attended to one or two of four fields of randomly moving dots presented in both left and right visual hemifields. In the focused attention condition, the target stimulus was defined both by color and location, whereas in the divided attention condition stimuli of the target color had to be attended in both hemifields. Sustained attentional selection was measured by means of steady-state visual evoked potentials elicited by each of the frequency-tagged flickering dot fields. Additionally, target and distractor selection was assessed with ERPs to these stimuli. We found that spatial and color-based attention independently modulated the amplitude of steady-state visual evoked potentials, confirming independent top-down influences on early visual areas. In contrast, P3 amplitudes elicited only by targets and distractors of the attended color were subject to space-based enhancement, suggesting increasing integration of spatial and feature-based selection over the course of perceptual processing.

摘要

在自然视觉中,空间和非空间特征的处理是同时进行的;然而,负责促进这种处理的两种注意力类型具有不同的机制。在这里,我们通过检查颜色注意选择,同时将空间注意集中或分散,测试了视觉处理不同阶段的空间和基于特征的注意力的独立性。人类观察者关注四个随机移动点场中的一个或两个,这些点场在左右视觉半视野中呈现。在集中注意力的条件下,目标刺激既由颜色又由位置定义,而在分散注意力的条件下,必须在两个半视野中注意目标颜色的刺激。通过每个标记闪烁点场的稳态视觉诱发电位来测量持续的注意力选择。此外,还使用这些刺激的 ERP 评估了目标和干扰物的选择。我们发现,空间和基于颜色的注意力独立地调节了稳态视觉诱发电位的幅度,证实了对早期视觉区域的独立自上而下的影响。相比之下,仅由注意颜色的目标和干扰物引发的 P3 幅度受到基于空间的增强,这表明在感知处理过程中,空间和基于特征的选择的整合程度越来越高。

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