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非视网膜拓扑特征归因中的屏障效应。

Barrier effects in non-retinotopic feature attribution.

作者信息

Aydın Murat, Herzog Michael H, Oğmen Haluk

机构信息

Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77024-4005, USA.

出版信息

Vision Res. 2011 Aug 15;51(16):1861-71. doi: 10.1016/j.visres.2011.06.016. Epub 2011 Jul 8.

DOI:10.1016/j.visres.2011.06.016
PMID:21767561
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3152686/
Abstract

When objects move in the environment, their retinal images can undergo drastic changes and features of different objects can be inter-mixed in the retinal image. Notwithstanding these changes and ambiguities, the visual system is capable of establishing correctly feature-object relationships as well as maintaining individual identities of objects through space and time. Recently, by using a Ternus-Pikler display, we have shown that perceived motion correspondences serve as the medium for non-retinotopic attribution of features to objects. The purpose of the work reported in this manuscript was to assess whether perceived motion correspondences provide a sufficient condition for feature attribution. Our results show that the introduction of a static "barrier" stimulus can interfere with the feature attribution process. Our results also indicate that the barrier stops feature attribution based on interferences related to the feature attribution process itself rather than on mechanisms related to perceived motion.

摘要

当物体在环境中移动时,它们在视网膜上的图像会发生剧烈变化,不同物体的特征可能会在视网膜图像中相互混合。尽管存在这些变化和模糊性,视觉系统仍能够正确地建立特征与物体的关系,并在空间和时间上保持物体的个体身份。最近,通过使用特尔努斯-皮克勒显示器,我们已经表明,感知到的运动对应关系是特征非视网膜定位归因于物体的媒介。本手稿中报告的这项工作的目的是评估感知到的运动对应关系是否为特征归因提供了充分条件。我们的结果表明,引入静态“屏障”刺激会干扰特征归因过程。我们的结果还表明,屏障基于与特征归因过程本身相关的干扰而非与感知运动相关的机制来阻止特征归因。

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本文引用的文献

1
The Geometry of Visual Perception: Retinotopic and Non-retinotopic Representations in the Human Visual System.视觉感知的几何学:人类视觉系统中的视网膜拓扑和非视网膜拓扑表征
Proc IEEE Inst Electr Electron Eng. 2010;98(3):479-492. doi: 10.1109/JPROC.2009.2039028.
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Attention modulates spatio-temporal grouping.注意力调节时空分组。
Vision Res. 2011 Feb 23;51(4):435-46. doi: 10.1016/j.visres.2010.12.013. Epub 2011 Jan 23.
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Attention and non-retinotopic feature integration.注意力与非视网膜拓扑特征整合
J Vis. 2010 Oct 1;10(12):8. doi: 10.1167/10.12.8.
4
A theory of moving form perception: Synergy between masking, perceptual grouping, and motion computation in retinotopic and non-retinotopic representations.一种运动形式感知理论:视网膜拓扑和非视网膜拓扑表征中掩蔽、知觉分组与运动计算之间的协同作用。
Adv Cogn Psychol. 2008 Jul 15;3(1-2):67-84. doi: 10.2478/v10053-008-0015-2.
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A (fascinating) litmus test for human retino- vs. non-retinotopic processing.一项用于检测人类视网膜与非视网膜定位处理的(引人入胜的)试金石。
J Vis. 2009 Dec 5;9(13):5.1-11. doi: 10.1167/9.13.5.
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Assessing the microstructure of motion correspondences with non-retinotopic feature attribution.通过非视网膜拓扑特征归因评估运动对应关系的微观结构。
J Vis. 2008 Jun 30;8(7):16.1-15. doi: 10.1167/8.7.16.
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Spatiotemporal feature attribution for the perception of visual size.视觉大小感知的时空特征归因
J Vis. 2008 Jun 12;8(8):7.1-9. doi: 10.1167/8.8.7.
8
Mobile computation: spatiotemporal integration of the properties of objects in motion.移动计算:运动中物体属性的时空整合。
J Vis. 2008 Sep 11;8(12):1.1-23. doi: 10.1167/8.12.1.
9
Motion, not masking, provides the medium for feature attribution.运动而非掩蔽提供了特征归因的媒介。
Psychol Sci. 2008 Aug;19(8):823-9. doi: 10.1111/j.1467-9280.2008.02163.x.
10
Crowding--an essential bottleneck for object recognition: a mini-review.拥挤现象——物体识别的关键瓶颈:一篇综述短文
Vision Res. 2008 Feb;48(5):635-54. doi: 10.1016/j.visres.2007.12.009. Epub 2008 Jan 28.