显式访问功能分布的详细表示
Vladislav Khvostov1,2, Árni Gunnar Ásgeirsson3, Árni Kristjánsson4
1Department of Psychology, The Ohio State University, Columbus, OH, 43210, USA. khvostov.vladislav@gmail.com.
Psychonomic bulletin & review
|June 6, 2025
概括
人类视觉系统可以感知对象组中的详细色彩分布,而不仅仅是简单的平均值. 观察者可以在短暂的视觉曝光后明确回忆这些复杂的特征分布.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 视觉感知 视觉感知 视觉感知
背景情况:
- 人类的视觉系统高效地处理对象组合,创建压缩的表示.
- 之前的研究表明,除了平均值或差异等基本统计数据之外,对集体特征的明确访问是有限的.
研究的目的:
- 调查意识感知的程度和明确访问详细的集体特征分布.
- 挑战这样一种观念,即只有集合的总结统计数据是有意识地可访问的.
主要方法:
- 开发了一个新的"特征频率报告"范式.
- 观察者暴露在36个彩色磁盘 (高斯分布,均分布,双模分布) 的集合中800 ms.
- 需要观察者通过滑块报告随机选择的颜色的频率.
主要成果:
- 观察者反应分布准确地反映了呈现的颜色分布.
- 建模表明,性能依赖于整个集的综合信息,而不是亚抽样.
- 证明可靠的显式访问详细的特征分布表示.
结论:
- 视觉系统可以构建,观察者可以明确访问集体特征分布的详细表示.
- 这挑战了现有的集体感知模型,表明分布表示是基本的.
- 详细的分布表示可能有助于丰富的感知体验,尽管认知局限性.
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