颜色选择数适应依赖于颜色信息的自动分类

IF 4.6 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Paolo A. Grasso , Giovanni Anobile , Massimo Gurioli , Guido M. Cicchini , Roberto Arrighi
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引用次数: 0

摘要

数字感知受适应的影响,但当适配器和测试颜色不同时,这种影响大大降低。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,它反而证明了数量适应的非数字性质。根据这一思想,数值自适应是空间和色彩信息低层次滤波的副产品。本研究对比了这两种观点,在将刺激物过滤掉的可能性等同后,探讨了数量适应及其对颜色的选择性,并直接测试了分类机制在颜色选择适应行为发生中的作用。我们的研究结果证实,数量适应并不依赖于对视觉信息的过滤,并且表明它对颜色的选择性真正反映了视觉系统在类别之间自动解析的能力,当这些类别由显着的视觉属性(如颜色)定义时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color-selective numerosity adaptation depends on the automatic categorization of colored information
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.
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来源期刊
iScience
iScience Multidisciplinary-Multidisciplinary
CiteScore
7.20
自引率
1.70%
发文量
1972
审稿时长
6 weeks
期刊介绍: Science has many big remaining questions. To address them, we will need to work collaboratively and across disciplines. The goal of iScience is to help fuel that type of interdisciplinary thinking. iScience is a new open-access journal from Cell Press that provides a platform for original research in the life, physical, and earth sciences. The primary criterion for publication in iScience is a significant contribution to a relevant field combined with robust results and underlying methodology. The advances appearing in iScience include both fundamental and applied investigations across this interdisciplinary range of topic areas. To support transparency in scientific investigation, we are happy to consider replication studies and papers that describe negative results. We know you want your work to be published quickly and to be widely visible within your community and beyond. With the strong international reputation of Cell Press behind it, publication in iScience will help your work garner the attention and recognition it merits. Like all Cell Press journals, iScience prioritizes rapid publication. Our editorial team pays special attention to high-quality author service and to efficient, clear-cut decisions based on the information available within the manuscript. iScience taps into the expertise across Cell Press journals and selected partners to inform our editorial decisions and help publish your science in a timely and seamless way.
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