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场景中的显著物体会触发增强的感知选择和记忆编码。

Salient objects in a scene trigger enhanced perceptual selection and memory encoding.

作者信息

Xi Peiyao, Lin Rongqi, Woodman Geoffrey F, Wang Benchi

机构信息

Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.

Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China.

出版信息

bioRxiv. 2025 Mar 26:2025.03.25.645146. doi: 10.1101/2025.03.25.645146.

Abstract

Rapidly detecting salient objects from surrounding environments is crucial for survival. Our study demonstrates that salient objects in visual search arrays trigger von Restorff-like effects. In a search task, participants detected a tilted target bar among distractors with EEG recordings. The results revealed that salient objects elicited the largest and earliest N2pc component, reflecting early attentional selection, which enhanced multivariate decoding of target location. Importantly, early selection of highly salient targets (25° tilt) triggered a cascade of preferential processing downstream, marked by stronger P3b components, neural synchronization, and phase-amplitude coupling between low- and high-frequency activity, along with better recall performance of target orientation. The strength of memory-related activity on the current trial predicted the vigor of the next selection event, indicating that salience-driven learning influences future attentional control. Overall, object salience in spatial arrays drives a cascade of processing, facilitating rapid learning of object relevance while humans search their environment.

摘要

从周围环境中快速检测出显著物体对生存至关重要。我们的研究表明,视觉搜索阵列中的显著物体会触发类冯·雷斯托夫效应。在一项搜索任务中,参与者通过脑电图记录在干扰物中检测倾斜的目标条。结果显示,显著物体引发了最大且最早的N2pc成分,反映了早期注意选择,这增强了目标位置的多变量解码。重要的是,对高度显著目标(25°倾斜)的早期选择引发了下游一系列优先处理,其特征为更强的P3b成分、神经同步以及低频和高频活动之间的相位-振幅耦合,同时目标方向的回忆表现更好。当前试验中与记忆相关活动的强度预测了下一次选择事件的活力,这表明显著性驱动的学习会影响未来的注意力控制。总体而言,空间阵列中的物体显著性驱动了一系列处理过程,在人类搜索环境时促进了对物体相关性的快速学习。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45d1/11974804/acf49aa4206f/nihpp-2025.03.25.645146v1-f0001.jpg

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