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颜色选择性数量适应取决于颜色信息的自动分类。

Color-selective numerosity adaptation depends on the automatic categorization of colored information.

作者信息

Grasso Paolo A, Anobile Giovanni, Gurioli Massimo, Cicchini Guido M, Arrighi Roberto

机构信息

Department of Physics and Astronomy, University of Florence, Sesto Fiorentino, Italy.

Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy.

出版信息

iScience. 2025 May 2;28(6):112572. doi: 10.1016/j.isci.2025.112572. eCollection 2025 Jun 20.

Abstract

Numerosity perception is subject to adaptation, but this effect is greatly reduced when adaptor and test differ in color. This color-selectivity has been interpreted as evidence of automatic categorization of color-defined numerical information. However, some argue it instead demonstrates the non-numerical nature of numerosity adaptation. According to this idea numerosity adaptation is a byproduct of low-level filtering of spatial and chromatic information. Here, we contrasted these two perspectives by probing numerosity adaptation and its selectivity to color after equating stimuli in terms of their probability to be filtered out and by directly testing the role of categorization mechanisms in the genesis of color-selective adaptation behaviors. Our results confirm that numerosity adaptation does not depend on the filtering out of visual information and suggest that its selectivity for color genuinely reflects the visual system's ability to automatically parse between categories when these are defined by salient visual attributes like color.

摘要

数量感知会受到适应的影响,但当适应刺激和测试刺激在颜色上不同时,这种影响会大大降低。这种颜色选择性被解释为颜色定义的数字信息自动分类的证据。然而,一些人认为这反而证明了数量适应的非数字性质。根据这一观点,数量适应是空间和色度信息低水平过滤的副产品。在这里,我们通过在根据被过滤掉的概率使刺激相等之后探究数量适应及其对颜色的选择性,并直接测试分类机制在颜色选择性适应行为产生中的作用,对这两种观点进行了对比。我们的结果证实,数量适应并不依赖于视觉信息的过滤,并表明其对颜色的选择性真正反映了视觉系统在这些类别由颜色等显著视觉属性定义时自动区分类别的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d9/12145803/8952b97000bc/fx1.jpg

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