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多个并发的质心判断意味着多个组内显著图。

Multiple concurrent centroid judgments imply multiple within-group salience maps.

机构信息

Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, 92697-5100, USA.

出版信息

Atten Percept Psychophys. 2021 Apr;83(3):934-955. doi: 10.3758/s13414-020-02197-7. Epub 2021 Jan 5.

Abstract

Subjects viewed a brief flash of 8-24 dots of either two or three colors randomly arrayed. Their task was to move a mouse cursor to the centroid (center-of-gravity) of each color in a pre-designated order. Conventional and idea-detector analyses show that subjects accurately judged all three centroids utilizing an astounding 13/24 stimulus dots, with only a modest loss of accuracy compared to judging a single-predesignated color centroid. The ability to concurrently compute three centroids is important because it is believed that centroid judgments are made on salience maps that record only salience and are ignorant of the features that produced the salience. Our explanation, instantiated in a computational model of salience processing, is that subjects have three salience maps. Dots are initially segregated into three groups according to color, then each color-group is recorded on a different salience map to compute a centroid. In Part 2, the data are analyzed in terms of Attention Operating Characteristics to characterize impairments in subjects' color-attention filters (mostly insignificant) and encoding efficiency (20% drop for the hardest task) in making multiple versus single centroid judgments. A new, more sensitive analysis measured five sources of subject error variance, four independent, additive sources of error variance: imperfect color-attention filters; a Bayesian-like bias towards a central tendency; storage, retrieval, and cursor misplacement error; a large residual error due mostly to inefficient encoding; and fifth, an interactive source - error in all four components that increases when multiple centroid judgments versus a single centroid judgment are required on each trial. SIGNIFICANCE STATEMENT: An important brain process is a salience map, a representation of the relative importance (salience) of the locations of visual space. It is needed to guide where to look next, for computing the center (technically "centroid") of a cluster of items, and for other important computations. Here we show that in a brief flash of dots of three different colors, randomly interleaved, subjects can compute all three centroids. As a single salience map cannot discriminate dots of different colors, accurately reporting three centroids demonstrates that subjects have not just one, as is commonly believed, but at least three salience maps.

摘要

被试者观看了一个由两到三种颜色的 8-24 个随机排列的小点组成的短暂闪光。他们的任务是按照预定的顺序将鼠标光标移动到每个颜色的质心(重心)。传统和想法探测器分析表明,被试者利用令人惊讶的 13/24 个刺激点准确地判断了所有三个质心,与判断单个预定颜色质心的准确性相比,只有适度的下降。能够同时计算三个质心是很重要的,因为人们认为质心判断是基于记录只有显著性而不知道产生显著性的特征的显著性地图。我们的解释,在显著性处理的计算模型中实例化,是被试者有三个显著性地图。点最初根据颜色分为三组,然后每个颜色组被记录在不同的显著性地图上,以计算质心。在第 2 部分中,数据根据注意力操作特性进行分析,以描述被试者在进行多个与单个质心判断时的颜色注意力过滤器(主要是不重要的)和编码效率(最难任务下降 20%)的损伤。一种新的、更敏感的分析方法测量了五个来源的被试者误差方差,四个独立的、可加的误差方差源:不完善的颜色注意力过滤器;对中心趋势的贝叶斯似偏见;存储、检索和光标错位误差;由于编码效率低而导致的较大剩余误差;以及第五个,由于每次试验都需要对多个质心判断与单个质心判断进行交互,因此在所有四个组件中都会出现错误。意义声明:一个重要的大脑过程是一个显著性地图,它是视觉空间位置相对重要性(显著性)的表示。它是指导下一步看哪里、计算一组项目的中心(技术上称为“质心”)以及其他重要计算所必需的。在这里,我们表明,在一个由三种不同颜色的随机交织的点的短暂闪光中,被试者可以计算所有三个质心。由于单个显著性地图不能区分不同颜色的点,准确报告三个质心表明被试者不仅有一个,如通常所认为的那样,而是至少有三个显著性地图。

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