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Cited by 417

The DOI matches its Crossref record; 175 of the 175 references it cites were found in a registry or an index.

The Encoding of Speech Sounds in the Superior Temporal Gyrus

Open access
Yi, Han Gyol, Leonard, Matthew K., Chang, Edward F.·2019·Neuron

Abstract

Summary The human superior temporal gyrus (STG) is critical for extracting meaningful linguistic features from speech input. Local neural populations are tuned to acoustic-phonetic features of all consonants and vowels, and to dynamic cues for intonational pitch. These populations are embedded throughout broader functional zones that are sensitive to amplitude-based temporal cues. Beyond speech features, STG representations are strongly modulated by learned knowledge and perceptual goals. Currently, a major challenge is to understand how these features are integrated across space and time in the brain during natural speech comprehension. We present a theory that temporally-recurrent connections within STG generate context-dependent phonological representations, spanning longer temporal sequences relevant for coherent percepts of syllables, words, and phrases.

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Metadata

Authors
Yi, H. G., Leonard, M. K., & Chang, E. F.
Venue
Neuron
Publisher
Elsevier BV
Published
2019-06
Volume
102
Issue
6
Pages
1096-1110
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2951670472
Cited by
417
References
175
FWCI
23.25
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Encoding of Speech Sounds in the Superior Temporal Gyrus. https://app.cochat.ai/papers/10.1016/j.neuron.2019.04.023
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Yi, H. G., Leonard, M. K., & Chang, E. F. (2019). The Encoding of Speech Sounds in the Superior Temporal Gyrus. Neuron. https://doi.org/10.1016/j.neuron.2019.04.023

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.