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关于空间和时间上大小的汇总统计数据。

Summary statistics for size over space and time.

作者信息

Gorea Andrei, Belkoura Seddik, Solomon Joshua A

机构信息

Laboratoire Psychologie de la Perception, Université Paris Descartes & CNRS, Paris, France.

Optometry Division, Applied Vision Research Centre, City University London, UK.

出版信息

J Vis. 2014 Aug 25;14(9):22. doi: 10.1167/14.9.22.

Abstract

A number of studies have investigated how the visual system extracts the average feature-value of an ensemble of simultaneously or sequentially delivered stimuli. In this study we model these two processes within the unitary framework of linear systems theory. The specific feature value used in this investigation is size, which we define as the logarithm of a circle's diameter. Within each ensemble, sizes were drawn from a normal distribution. Average size discrimination was measured using ensembles of one and eight circles. These circles were presented simultaneously (display times: 13-427 ms), one at a time, or eight at a time (temporal-frequencies: 1.2-38 Hz). Thresholds for eight-item ensembles were lower than thresholds for one-item ensembles. Thresholds decreased by a factor of 1.3 for a 3,200% increase in display time, and decreased by the same factor for a 3,200% decrease in temporal frequency. Modeling and simulations show that the data are consistent with one readout of three to four items every 210 ms.

摘要

许多研究探讨了视觉系统如何提取同时或顺序呈现的一组刺激的平均特征值。在本研究中,我们在线性系统理论的统一框架内对这两个过程进行建模。本研究中使用的特定特征值是大小,我们将其定义为圆直径的对数。在每个组内,大小是从正态分布中抽取的。使用由一个和八个圆组成的组来测量平均大小辨别能力。这些圆同时呈现(显示时间:13 - 427毫秒),一次一个,或一次八个(时间频率:1.2 - 38赫兹)。八项组的阈值低于单项组的阈值。显示时间增加3200%时,阈值降低了1.3倍,时间频率降低3200%时,阈值也降低了相同倍数。建模和模拟表明,数据与每210毫秒读取三到四个项目的情况一致。

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