人类颞上回的语音计算

IF 6.5 1区 物理与天体物理 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
ACS Photonics Pub Date : 2022-01-04 Epub Date: 2021-10-21 DOI:10.1146/annurev-psych-022321-035256
Ilina Bhaya-Grossman, Edward F Chang
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引用次数: 0

摘要

人类的语音感知来自于将外部语音声学信号转化为词的内部表征的神经计算。颞上回(STG)包含非初级听觉皮层,是语音处理的关键位置。在这里,我们描述了 STG 中的语音声音表征如何依赖于基本的非线性和动态过程,如分类、归一化、上下文还原和时间结构提取。STG 上局部皮层位置的空间镶嵌表现出复杂的听觉编码,用于识别不同的声学-语音和前音特征。我们认为,作为一个群体组合,这些分布式神经活动模式产生了抽象的高阶音位和音节表征,从而支持了语音感知。这篇综述介绍了 STG 中语音处理的多尺度递归模型,强调了听觉系统和语言系统之间的关键界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Speech Computations of the Human Superior Temporal Gyrus.

Speech Computations of the Human Superior Temporal Gyrus.

Human speech perception results from neural computations that transform external acoustic speech signals into internal representations of words. The superior temporal gyrus (STG) contains the nonprimary auditory cortex and is a critical locus for phonological processing. Here, we describe how speech sound representation in the STG relies on fundamentally nonlinear and dynamical processes, such as categorization, normalization, contextual restoration, and the extraction of temporal structure. A spatial mosaic of local cortical sites on the STG exhibits complex auditory encoding for distinct acoustic-phonetic and prosodic features. We propose that as a population ensemble, these distributed patterns of neural activity give rise to abstract, higher-order phonemic and syllabic representations that support speech perception. This review presents a multi-scale, recurrent model of phonological processing in the STG, highlighting the critical interface between auditory and language systems.

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来源期刊
ACS Photonics
ACS Photonics NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
11.90
自引率
5.70%
发文量
438
审稿时长
2.3 months
期刊介绍: Published as soon as accepted and summarized in monthly issues, ACS Photonics will publish Research Articles, Letters, Perspectives, and Reviews, to encompass the full scope of published research in this field.
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