Department of Psychology, Carnegie Mellon University Pittsburgh, PA, USA ; Department of Neuroscience, Center for the Neural Basis of Cognition, University of Pittsburgh Pittsburgh, PA, USA.
Department of Neuroscience, Center for the Neural Basis of Cognition, University of Pittsburgh Pittsburgh, PA, USA ; Department of Neuroscience, Center for Neuroscience, University of Pittsburgh Pittsburgh, PA, USA ; Department of Psychology, University of Pittsburgh Pittsburgh, PA, USA.
Front Neurosci. 2014 Aug 1;8:230. doi: 10.3389/fnins.2014.00230. eCollection 2014.
Listeners must accomplish two complementary perceptual feats in extracting a message from speech. They must discriminate linguistically-relevant acoustic variability and generalize across irrelevant variability. Said another way, they must categorize speech. Since the mapping of acoustic variability is language-specific, these categories must be learned from experience. Thus, understanding how, in general, the auditory system acquires and represents categories can inform us about the toolbox of mechanisms available to speech perception. This perspective invites consideration of findings from cognitive neuroscience literatures outside of the speech domain as a means of constraining models of speech perception. Although neurobiological models of speech perception have mainly focused on cerebral cortex, research outside the speech domain is consistent with the possibility of significant subcortical contributions in category learning. Here, we review the functional role of one such structure, the basal ganglia. We examine research from animal electrophysiology, human neuroimaging, and behavior to consider characteristics of basal ganglia processing that may be advantageous for speech category learning. We also present emerging evidence for a direct role for basal ganglia in learning auditory categories in a complex, naturalistic task intended to model the incidental manner in which speech categories are acquired. To conclude, we highlight new research questions that arise in incorporating the broader neuroscience research literature in modeling speech perception, and suggest how understanding contributions of the basal ganglia can inform attempts to optimize training protocols for learning non-native speech categories in adulthood.
听众在从语音中提取信息时必须完成两项相辅相成的感知任务。他们必须区分语言相关的声学可变性,并对不相关的可变性进行概括。换句话说,他们必须对语音进行分类。由于声学可变性的映射是特定于语言的,因此这些类别必须通过经验学习。因此,了解听觉系统通常如何获取和表示类别可以为我们提供有关语音感知可用机制工具包的信息。这种观点邀请我们考虑语音领域之外的认知神经科学文献中的发现,作为限制语音感知模型的一种手段。尽管语音感知的神经生物学模型主要集中在大脑皮层,但语音领域之外的研究与在类别学习中存在重要的皮质下贡献的可能性是一致的。在这里,我们回顾了一个这样的结构——基底神经节的功能作用。我们检查了来自动物电生理学、人类神经影像学和行为的研究,以考虑基底神经节处理可能有利于语音类别学习的特征。我们还提出了新的证据,表明基底神经节在一项复杂的、自然主义的任务中直接参与学习听觉类别,该任务旨在模拟以偶然方式习得语音类别的方式。最后,我们强调了在将更广泛的神经科学研究文献纳入语音感知建模中出现的新研究问题,并提出了如何理解基底神经节的贡献可以为尝试优化成年后学习非母语语音类别的训练方案提供信息。