Structured neuronal encoding and decoding of human speech features
Structured neuronal encoding and decoding of human speech features
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DOI：
10.1038/ncomms1995
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发表时间：
2012-08-01
影响因子：
16.6
通讯作者：
Shoham, Shy
中科院分区：
文献类型：
--
作者：
Tankus, Ariel;Fried, Itzhak;Shoham, Shy
人类的语音是通过沿着声道的结构的协调运动产生的。在这里，我们展示了元音发音的高度结构化的神经元编码。在内侧额叶神经元中，我们观察到对单个元音的高度特异性调谐，而上级颞回神经元具有非特异性的正弦调制调谐（类似于运动皮层方向调谐）。在神经元群体水平上，解码分析表明，元音编码的基本结构反映了发音运动的解剖学基础。这种结构化编码能够准确解码意志语音片段，并可应用于开发脑机接口，以恢复瘫痪个体的语音。
Human speech sounds are produced through a coordinated movement of structures along the vocal tract. Here we show highly structured neuronal encoding of vowel articulation. In medial-frontal neurons, we observe highly specific tuning to individual vowels, whereas superior temporal gyrus neurons have nonspecific, sinusoidally modulated tuning (analogous to motor cortical directional tuning). At the neuronal population level, a decoding analysis reveals that the underlying structure of vowel encoding reflects the anatomical basis of articulatory movements. This structured encoding enables accurate decoding of volitional speech segments and could be applied in the development of brain-machine interfaces for restoring speech in paralysed individuals.