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意义地图预测变化检测中的反应时间

Alan Z Lu^1,2, Aditya Upadhyayula³, John M Henderson^1,2

¹Center for Mind and Brain, University of California, Davis.

Visual cognition

|August 28, 2025

概括

检测视觉变化依赖于场景的意义. 在自然主义场景中具有高度意义的区域更容易被识别为变化,表明视觉系统

科学领域:

认知神经科学
视觉感知
计算机视觉

背景情况:

检测变化对于适应动态环境至关重要.
之前的研究表明,高层次的语义信息指导在自然场景中改变检测.
工作记忆可以积极地保持对比的表现.

研究的目的:

研究语义特征在视觉变化检测中的作用.
确定语义信息是否预测闪模式中的变化检测准确性.
探索场景意义对视觉处理的影响.

主要方法:

使用数据驱动的含义地图来量化自然场景中的语义信息.
使用闪模式来呈现视觉刺激和记录变化检测性能.
进行了两项操作场景意义和方向的实验 (实验2使用场景反转).

主要成果:

在高意义区域的变化被检测得比非意义区域更容易,即使在控制低水平的突出性.
场景反转显著降低了检测有意义地区变化的优势.
语义信息显然影响视觉变化检测.

结论:

视觉系统积极利用语义特征进行有效的变化检测.
有意义的内容对我们对环境变化的感知和反应起着重要作用.
这些发现突显了语义处理在视觉工作记忆和场景理解中的重要性.

关键词:

检测变化意义地图场景的反转场景的感知场景语义

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