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The DOI matches its Crossref record; 169 of the 169 references it cites were found in a registry or an index.

Sensorimotor Integration in Speech Processing: Computational Basis and Neural Organization

Open access
Hickok, Gregory, Houde, John, Rong, Feng·2011·Neuron

Abstract

Sensorimotor integration is an active domain of speech research and is characterized by two main ideas, that the auditory system is critically involved in speech production, and that the motor system is critically involved in speech perception. Despite the complementarity of these ideas, there is little crosstalk between these literatures. We propose an integrative model of the speech-related “dorsal stream” in which sensorimotor interaction primarily supports speech production, in the form of a state feedback control architecture. A critical component of this control system is forward sensory prediction, which affords a natural mechanism for limited motor influence on perception, as recent perceptual research has suggested. Evidence shows that this influence is modulatory but not necessary for speech perception. The neuroanatomy of the proposed circuit is discussed as well as some probable clinical correlates including conduction aphasia, stuttering, and aspects of schizophrenia.

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Crossref · 10.1016/j.neuron.2011.01.019

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Metadata

Authors
Hickok, G., Houde, J., & Rong, F.
Venue
Neuron
Publisher
Elsevier BV
Published
2011-02
Volume
69
Issue
3
Pages
407-422
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2143946714
Cited by
786
References
169
FWCI
30.90
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Sensorimotor Integration in Speech Processing: Computational Basis and Neural Organization. https://app.cochat.ai/papers/10.1016/j.neuron.2011.01.019
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Hickok, G., Houde, J., & Rong, F. (2011). Sensorimotor Integration in Speech Processing: Computational Basis and Neural Organization. Neuron. https://doi.org/10.1016/j.neuron.2011.01.019

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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.