Phoneme representation and classification in primary auditory cortex
Phoneme representation and classification in primary auditory cortex
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DOI：
10.1121/1.2816572
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发表时间：
2008-02-01
影响因子：
2.4
通讯作者：
Shamma, Shihab A.
中科院分区：
文献类型：
--
作者：
Mesgarani, Nima;David, Stephen V.;Shamma, Shihab A.
神经语言学中一个有争议的问题是，在许多动物中发现的基本神经听觉表征是否可以解释人类对言语的感知。这个问题是通过研究幼稚清醒雪貂的初级听觉皮层（AI）中的一群神经元如何编码音素以及这种表示是否可以解释人类区分它们的能力来解决的。当通过频谱调谐和动力学来表征和排序神经反应时，感知上的显着特征（包括元音中的共振峰模式以及辅音中的发音位置和方式）很容易通过不同神经亚群的活动来可视化。此外，这些响应忠实地编码了这些音素的声学特征之间的相似性。在神经表示上训练的简单分类器在使用新样本进行测试时能够模拟人类音素混淆。这些结果表明，A1 响应足够丰富，可以编码和区分音素类别，并且人类和动物可以基于相同的一般声学表征来学习分类和鲁棒声音分类的边界。 (c) 2008 年。
A controversial issue in neurolinguistics is whether basic neural auditory representations found in many animals can account for human perception of speech. This question was addressed by examining how a population of neurons in the primary auditory cortex (AI) of the naive awake ferret encodes phonemes and whether this representation could account for the human ability to discriminate them. When neural responses were characterized and ordered by spectral tuning and dynamics, perceptually significant features including formant patterns in vowels and place and manner of articulation in consonants, were readily visualized by activity in distinct neural subpopulations. Furthermore, these responses faithfully encoded the similarity between the acoustic features of these phonemes. A simple classifier trained on the neural representation was able to simulate human phoneme confusion when tested with novel exemplars. These results suggest that A1 responses are sufficiently rich to encode and discriminate phoneme classes and that humans and animals may build upon the same general acoustic representations to learn boundaries for categorical and robust sound classification. (c) 2008.