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视觉感知负荷、多模态干扰过滤和神经竞争的稳态特征。

Steady-state signatures of visual perceptual load, multimodal distractor filtering, and neural competition.

机构信息

Beckman Institute, University of Illinois, 405 N Matthews Avenue, Urbana, IL 61801, USA.

出版信息

J Cogn Neurosci. 2011 May;23(5):1113-24. doi: 10.1162/jocn.2010.21460. Epub 2010 Feb 10.

Abstract

The perceptual load theory of attention posits that attentional selection occurs early in processing when a task is perceptually demanding but occurs late in processing otherwise. We used a frequency-tagged steady-state evoked potential paradigm to investigate the modality specificity of perceptual load-induced distractor filtering and the nature of neural-competitive interactions between task and distractor stimuli. EEG data were recorded while participants monitored a stream of stimuli occurring in rapid serial visual presentation (RSVP) for the appearance of previously assigned targets. Perceptual load was manipulated by assigning targets that were identifiable by color alone (low load) or by the conjunction of color and orientation (high load). The RSVP task was performed alone and in the presence of task-irrelevant visual and auditory distractors. The RSVP stimuli, visual distractors, and auditory distractors were "tagged" by modulating each at a unique frequency (2.5, 8.5, and 40.0 Hz, respectively), which allowed each to be analyzed separately in the frequency domain. We report three important findings regarding the neural mechanisms of perceptual load. First, we replicated previous findings of within-modality distractor filtering and demonstrated a reduction in visual distractor signals with high perceptual load. Second, auditory steady-state distractor signals were unaffected by manipulations of visual perceptual load, consistent with the idea that perceptual load-induced distractor filtering is modality specific. Third, analysis of task-related signals revealed that visual distractors competed with task stimuli for representation and that increased perceptual load appeared to resolve this competition in favor of the task stimulus.

摘要

注意的知觉负载理论认为,当任务在知觉上要求较高时,注意选择会在处理的早期发生,但在其他情况下则会在处理的晚期发生。我们使用频率标记的稳态诱发电位范式来研究知觉负载引起的分心过滤的模态特异性以及任务和分心刺激之间的神经竞争相互作用的性质。在参与者以快速序列视觉呈现 (RSVP) 方式监测刺激流以寻找先前分配的目标的过程中,记录了 EEG 数据。通过分配仅通过颜色可识别的目标(低负载)或通过颜色和方向的结合来分配目标来操纵知觉负载(高负载)。RSVP 任务单独执行,并且存在与任务不相关的视觉和听觉分心物。RSVP 刺激物、视觉分心物和听觉分心物分别通过调制各自的独特频率(分别为 2.5、8.5 和 40.0 Hz)进行“标记”,这允许分别在频域中对其进行分析。我们报告了关于知觉负载神经机制的三个重要发现。首先,我们复制了先前关于模态内分心过滤的发现,并证明了高知觉负载下视觉分心物信号的减少。其次,听觉稳态分心物信号不受视觉知觉负载的影响,这与知觉负载引起的分心过滤是模态特异性的观点一致。第三,对任务相关信号的分析表明,视觉分心物与任务刺激竞争表示,并且增加的知觉负载似乎有利于任务刺激来解决这种竞争。

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