单词和图片的常见语义类别的时空属性
Yulia Bezsudnova1, Andrew J Quinn1, Syanah C Wynn1,2
1University of Birmingham.
Journal of cognitive neuroscience
|May 13, 2024
概括
这项研究使用图像和单词对大脑活动的交叉解码来理解语义处理. 结果显示图片的语义激活在150ms左右,文字的语义激活在230ms左右.
科学领域:
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
背景情况:
- 了解对象识别中的语义处理时间是至关重要的.
- 电生理反应的多变量模式分析 (MVPA) 是一种常见的方法.
- 有关MVPA中低级别视觉特征的影响存在担忧.
研究的目的:
- 研究视觉和文本对象刺激的语义处理的时间动态.
- 使用跨模态方法将语义激活与视觉特征处理区分开来.
- 为了确定图片或文字是否更早地访问语义信息.
主要方法:
- 应用了使用磁脑图 (MEG) 数据的交叉解码方法.
- 利用来自两个模式的刺激:图像和书面文字,跨越三个类别.
- 采用了搜索灯方法进行跨模式激活的地形分析.
主要成果:
- 交叉模式分类揭示了图像和文字处理的独特时间模式.
- 在文字训练时,图片被分类为150-430毫秒;在图片训练时,字被分类为225-430毫秒.
- 左侧的地形图显示了语言表征的参与.
结论:
- 图像刺激的语义激活发生在刺激开始后的150毫秒左右.
- 书面文字的语义激活发生在稍后,大约在刺激开始后的230毫秒.
- 这些发现突出了不同模式的语义处理的独特时间轨迹.
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