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与非言语听觉范畴学习相关的神经变化与言语范畴习得的神经变化相似。

Neural changes associated with nonspeech auditory category learning parallel those of speech category acquisition.

机构信息

Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

出版信息

J Cogn Neurosci. 2011 Mar;23(3):683-98. doi: 10.1162/jocn.2009.21392. Epub 2009 Nov 23.

Abstract

Native language experience plays a critical role in shaping speech categorization, but the exact mechanisms by which it does so are not well understood. Investigating category learning of nonspeech sounds with which listeners have no prior experience allows their experience to be systematically controlled in a way that is impossible to achieve by studying natural speech acquisition, and it provides a means of probing the boundaries and constraints that general auditory perception and cognition bring to the task of speech category learning. In this study, we used a multimodal, video-game-based implicit learning paradigm to train participants to categorize acoustically complex, nonlinguistic sounds. MMN responses to the nonspeech stimuli were collected before and after training, and changes in MMN resulting from the nonspeech category learning closely resemble patterns of change typically observed during speech category learning. Results indicate that changes in mismatch negativity resulting from the nonspeech category learning closely resemble patterns of change typically observed during speech category learning. This suggests that the often-observed "specialized" neural responses to speech sounds may result, at least in part, from the expertise we develop with speech categories through experience rather than from properties unique to speech (e.g., linguistic or vocal tract gestural information). Furthermore, particular characteristics of the training paradigm may inform our understanding of mechanisms that support natural speech acquisition.

摘要

母语经验在塑造语音分类中起着关键作用,但母语经验具体是如何产生影响的仍不清楚。通过使用非母语者之前没有接触过的非言语声音进行类别学习研究,可以系统地控制他们的经验,这是通过研究自然言语习得无法实现的,同时还可以探究一般听觉感知和认知在言语类别学习任务中带来的限制和约束。在这项研究中,我们使用了一种多模式、基于视频游戏的内隐学习范式来训练参与者对听觉复杂的非言语声音进行分类。在训练前后收集了参与者对非言语刺激的 MMN 反应,并且非言语类别学习引起的 MMN 变化与通常在言语类别学习中观察到的变化模式非常相似。结果表明,非言语类别学习引起的 MMN 变化模式与通常在言语类别学习中观察到的变化模式非常相似。这表明,对言语声音的“专门”神经反应可能至少部分是由于我们通过经验而不是言语所特有的属性(例如语言或声道运动信息)发展起来的言语类别专业知识所导致的。此外,训练范式的特定特征可能有助于我们理解支持自然言语习得的机制。

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