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分类工作记忆表征用于连续颜色的延迟估计。

Categorical working memory representations are used in delayed estimation of continuous colors.

作者信息

Hardman Kyle O, Vergauwe Evie, Ricker Timothy J

机构信息

Department of Psychological Sciences, University of Missouri.

Department of Psychology and Educational Sciences, University of Geneva.

出版信息

J Exp Psychol Hum Percept Perform. 2017 Jan;43(1):30-54. doi: 10.1037/xhp0000290. Epub 2016 Oct 31.

Abstract

In the last decade, major strides have been made in understanding visual working memory through mathematical modeling of color production responses. In the delayed color estimation task (Wilken & Ma, 2004), participants are given a set of colored squares to remember, and a few seconds later asked to reproduce those colors by clicking on a color wheel. The degree of error in these responses is characterized with mathematical models that estimate working memory precision and the proportion of items remembered by participants. A standard mathematical model of color memory assumes that items maintained in memory are remembered through memory for precise details about the particular studied shade of color. We contend that this model is incomplete in its present form because no mechanism is provided for remembering the coarse category of a studied color. In the present work, we remedy this omission and present a model of visual working memory that includes both continuous and categorical memory representations. In 2 experiments, we show that our new model outperforms this standard modeling approach, which demonstrates that categorical representations should be accounted for by mathematical models of visual working memory. (PsycINFO Database Record

摘要

在过去十年中,通过对颜色产生反应的数学建模,在理解视觉工作记忆方面取得了重大进展。在延迟颜色估计任务中(威尔肯和马,2004年),参与者会看到一组彩色方块并记住它们,几秒钟后要求他们通过点击色轮来再现这些颜色。这些反应中的误差程度通过数学模型来表征,这些模型可以估计工作记忆的精度以及参与者记住的项目比例。颜色记忆的标准数学模型假设,记忆中保持的项目是通过对所研究特定颜色阴影的精确细节的记忆来记住的。我们认为,这个模型目前的形式是不完整的,因为没有提供记住所研究颜色的粗略类别的机制。在当前的工作中,我们弥补了这一疏漏,并提出了一个视觉工作记忆模型,该模型包括连续和分类记忆表征。在两项实验中,我们表明我们的新模型优于这种标准建模方法,这表明分类表征应该由视觉工作记忆的数学模型来解释。(PsycINFO数据库记录)

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