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单次会话标签训练改变了物体和面孔之间的神经竞争。

Single-session label training alters neural competition between objects and faces.

机构信息

Department of Psychology.

出版信息

J Exp Psychol Hum Percept Perform. 2021 Mar;47(3):387-401. doi: 10.1037/xhp0000889. Epub 2021 Jan 21.

Abstract

The extent to which visuocortical processing is altered when observers learn to categorize novel visual stimuli via labeling is not well understood. The present investigation used steady state visual evoked potential (ssVEP) frequency tagging to test the hypothesis that learning to categorize novel objects via labeling prompts a competitive advantage over concurrently presented stimuli. In the learning (label-training) phase, participants ( = 24) categorized objects according to two different species labels and faces according to gender. A control group ( = 26) viewed the same stimuli without label learning. Before and after learning, faces and objects were superimposed and viewed concurrently while periodically turned on and off at unique temporal rates (5/s or 6/s). The spectral power of the ssVEP at each frequency was projected to an L2 (minimum) norm estimated source space, and competition between faces and objects was compared using permutation-controlled mass univariate t tests. Results showed that, only in the training group, learning to label novel objects led to a competitive advantage over faces across a network of occipito-temporal and fronto-parietal cortical regions. These changes were more pronounced in participants showing more improvement across the label learning phase. Together, the findings support the notion that learning to label novel object categories affects neural competition though recurrent neural interactions in regions commonly associated with visual perception and selective attention. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

当观察者通过标签学习对新的视觉刺激进行分类时,视皮质处理的程度会发生怎样的变化尚不清楚。本研究使用稳态视觉诱发电位(ssVEP)频率标记来检验以下假设:通过标签学习对新物体进行分类会带来相对于同时呈现的刺激的竞争优势。在学习(标签训练)阶段,参与者(n=24)根据两个不同的物种标签对物体进行分类,并根据性别对人脸进行分类。对照组(n=26)观看了相同的刺激,但没有进行标签学习。在学习前后,将人脸和物体叠加并同时观看,同时以独特的时间频率(5/s 或 6/s)周期性地打开和关闭。ssVEP 在每个频率的光谱功率被投影到 L2(最小)范数估计源空间,并使用置换控制的多元 t 检验比较人脸和物体之间的竞争。结果表明,只有在训练组中,通过标签学习对新物体进行分类会导致在枕颞和额顶皮质区域网络中相对于人脸的竞争优势。在标签学习阶段表现出更多改善的参与者中,这些变化更为明显。总的来说,这些发现支持了这样一种观点,即通过与视觉感知和选择性注意相关的区域中的递归神经相互作用,学习对新物体类别进行分类会影响神经竞争。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

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