The role of attention in basic ensemble statistics processing

IF 2 3区 心理学 Q3 BEHAVIORAL SCIENCES
Anton Lukashevich , Heida Maria Sigurdardottir , Nikita Kydriavstsev , Igor Utochkin
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引用次数: 0

Abstract

The visual system can represent information about multiple objects in the form of ensemble statistics, such as their mean feature. Although ensemble representation is often considered a strategy to deal with attentional capacity limitations, it is under debate whether it requires attention. We investigated this question using two ERP markers, the P3 which is evoked by change detection of attended stimuli, and visual mismatch negativity (vMMN) which is elicited by automatic sensory discrimination when attention is diverted from the critical stimulus. In Experiment 1 (attended ensemble changes), observers attended to ensembles and reported rare changes of their mean orientation, while fixating on a central cross. In Experiment 2 (unattended ensemble changes), participants attended to changes in a central cross and ignored the background ensemble stimuli that also sporadically changed mean orientation. When ensembles were attended, changes in their mean evoked the P3 component, a marker of conscious change detection. When the same ensembles were unattended, no evidence for the vMMN, a marker of automatic discrimination, to ensemble mean changes was found. These results let us suggest that attention dedicated to the ensemble task is critical for ensemble discrimination.
注意在基本集成统计处理中的作用。
视觉系统可以以集合统计的形式表示多个对象的信息,例如它们的平均特征。虽然集合表示通常被认为是一种处理注意能力限制的策略,但它是否需要注意仍存在争议。我们使用两个ERP标记来研究这个问题,P3是由被注意刺激的变化检测引起的,vMMN是由注意力从关键刺激转移时自动感觉辨别引起的。在实验1(被关注的集合变化)中,观察者关注集合并报告其平均方向的罕见变化,同时关注中心十字架。在实验2(无注意集合变化)中,参与者注意中心十字的变化,忽略背景集合刺激,背景集合刺激也会偶尔改变平均方向。当参加集体活动时,其平均值的变化诱发了P3成分,这是有意识变化检测的标志。当相同的集合无人看管时,没有证据表明vMMN(自动区分的标志)对集合平均值的变化。这些结果让我们认为,专注于集成任务的注意力对于集成识别至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neuropsychologia
Neuropsychologia 医学-行为科学
CiteScore
5.10
自引率
3.80%
发文量
228
审稿时长
4 months
期刊介绍: Neuropsychologia is an international interdisciplinary journal devoted to experimental and theoretical contributions that advance understanding of human cognition and behavior from a neuroscience perspective. The journal will consider for publication studies that link brain function with cognitive processes, including attention and awareness, action and motor control, executive functions and cognitive control, memory, language, and emotion and social cognition.
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