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Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
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概念类别的交叉模式表示的时间进程
Julien Dirani1, Liina Pylkkänen2
1Department of Psychology, New York University, New York, NY, 10003, USA.
NeuroImage
|June 30, 2023
概括
语言生产激活了图像和文字的共享,交叉模式的语义类别表示. 这些表征在模式特定处理后出现,但在完全的词汇访问之前.
科学领域:
- 认知神经科学 认知神经科学
- 心理语言学 心理语言学
- 神经成像是一种神经成像.
背景情况:
- 概念表征是语言和感知的基础.
- 了解特定模式 (如视觉) 和一般模式 (如语义) 的信息在语言生成过程中如何相互作用至关重要.
- 之前的研究还没有完全描述在自然语言任务中交叉模式语义激活的时间动态.
研究的目的:
- 为了调查语言生产任务,如图片命名和文字阅读,是否激活共享的,交叉模式的语义类别表示.
- 确定这些表示的时间演变及其与模式特定和词汇信息的关系.
- 检查语言生产过程中概念表征的模式-一般性.
主要方法:
- 利用磁脑电图 (MEG) 和解码方法来分析图片命名和公开文字阅读期间的大脑活动.
- 训练有素的机器学习模型从MEG数据中分类语义类别 (动物/工具) 以一种模式,并对另一种模式进行了测试.
- 对文字形式属性进行控制,避免了明确的分类判断.
主要成果:
- 对图像和文字的交叉模式语义类别表示的自动激活的证据.
- 交叉模式的表示被激活的时间比特定模式的表示要晚得多,大约出现150 ms,持续到450 ms.
- 语义类别在图片的词汇访问之前被表示,与视觉表示同时发生,但在词汇访问之后出现了词汇访问.
结论:
- 语言的产生自发地激活了交叉模式的语义类别表示.
- 这些发现支持语言生产过程中概念表征的模式-一般性.
- 该研究提供了一个时空框架,用于理解在生产计划期间的语义特征激活.
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