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轮廓分组:封闭效应可以通过良好的连续性和接近性来解释。

Contour grouping: closure effects are explained by good continuation and proximity.

作者信息

Tversky Tal, Geisler Wilson S, Perry Jeffrey S

机构信息

Center for Perceptual Systems, University of Texas at Austin, Austin, TX 78712, USA.

出版信息

Vision Res. 2004 Nov;44(24):2769-77. doi: 10.1016/j.visres.2004.06.011.

Abstract

Previous experimental studies have provided evidence that closed contours are easier to detect than open contours in random-element displays, and previous theoretical studies have shown that these effects might be explained by an active neural mechanism (e.g., a "reverberating neural circuit") sensitive to closure. To test this hypothesis, detection thresholds were measured in five experiments designed to control for the effects of uncertainty, eccentricity, and element density. In four of the experiments, we found that closed contours were no easier to detect than open contours, and in the remaining experiment the effects were consistent with the predictions of probability summation. Thus, we could find no evidence for an active neural mechanism that enhances detectability of closed contours more than open contours, although some form of closure mechanism may play a significant role in image interpretation.

摘要

先前的实验研究已经提供证据表明,在随机元素显示中,封闭轮廓比开放轮廓更容易被检测到,并且先前的理论研究表明,这些效应可能由对封闭敏感的主动神经机制(例如,“回响神经回路”)来解释。为了检验这一假设,在五个旨在控制不确定性、偏心率和元素密度影响的实验中测量了检测阈值。在其中四个实验中,我们发现封闭轮廓并不比开放轮廓更容易被检测到,而在其余实验中,结果与概率求和的预测一致。因此,我们找不到证据支持存在一种比开放轮廓更能提高封闭轮廓可检测性的主动神经机制,尽管某种形式的封闭机制可能在图像解释中发挥重要作用。

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