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纹理分割与弹出式目标的视觉搜索:一项事件相关电位研究

Texture segmentation and visual search for pop-out targets. An ERP study.

作者信息

Schubö Anna, Schröger Erich, Meinecke Cristina

机构信息

Institut für Psychologie, Universität Erlangen-Nürnberg, Kochstrasse 4, D-91054 Erlangen, Germany.

出版信息

Brain Res Cogn Brain Res. 2004 Nov;21(3):317-34. doi: 10.1016/j.cogbrainres.2004.06.007.

Abstract

"Parallel" visual search and effortless texture segmentation were believed to rely on similar mechanisms until Wolfe [Vis. Res. 32 (1992) 757] demonstrated that efficient visual search and effortless texture segmentation are not always the same thing. In a recent study, Meinecke and Donk [Perception 31 (2002) 591] varied display size in a pop-out task and found that, albeit stimulus elements and the task remained the same, different set sizes led to different processing modes. These findings indicate that it may suffice to vary set size in an otherwise unchanged pop-out task to initiate different processing which may be similar to the processing in efficient visual search and in effortless texture segmentation. In four experiments, we further investigated this issue by presenting stimulus arrays of different set sizes while recording event-related brain potentials (ERPs). We found that when display size was increased, detection performance first decreased slightly before it then increased. ERP effects were observed for the posterior N2 (N2p), the N2pc and the P3 component. All three components showed variations with set size; N2p differential amplitude effects were confined to large set sizes, whereas an N2pc was obtained for a broader set size range except for very small set sizes and the largest set size (121 elements). We interpret both the non-monotonic relationship between set size and response data and the variations of ERP components with set size as evidence in favor of different processing occurring for stimulus arrays with small and large set sizes.

摘要

“平行”视觉搜索和轻松的纹理分割曾被认为依赖于相似的机制,直到沃尔夫[《视觉研究》32 (1992) 757]证明高效的视觉搜索和轻松的纹理分割并不总是一回事。在最近的一项研究中,迈内克和唐克[《感知》31 (2002) 591]在一个弹出式任务中改变了显示大小,发现尽管刺激元素和任务保持不变,但不同的集合大小会导致不同的处理模式。这些发现表明,在一个其他方面不变的弹出式任务中改变集合大小,可能足以启动不同的处理过程,这可能类似于高效视觉搜索和轻松纹理分割中的处理过程。在四个实验中,我们通过呈现不同集合大小的刺激阵列并记录事件相关脑电位(ERP),进一步研究了这个问题。我们发现,当显示大小增加时,检测性能首先略有下降,然后才上升。观察到后N2 (N2p)、N2pc和P3成分的ERP效应。所有这三个成分都随集合大小而变化;N2p的差异幅度效应仅限于大集合大小,而除了非常小的集合大小和最大集合大小(121个元素)外,在更广泛的集合大小范围内都获得了N2pc。我们将集合大小与反应数据之间的非单调关系以及ERP成分随集合大小的变化都解释为支持对小集合大小和大集合大小的刺激阵列发生不同处理的证据。

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