The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
The cortical organization of speech processing: Feedback control and predictive coding the context of a dual-stream model
Open accessAbstract
Speech recognition is an active process that involves some form of predictive coding. This statement is relatively uncontroversial. What is less clear is the source of the prediction. The dual-stream model of speech processing suggests that there are two possible sources of predictive coding in speech perception: the motor speech system and the lexical-conceptual system. Here I provide an overview of the dual-stream model of speech processing and then discuss evidence concerning the source of predictive coding during speech recognition. I conclude that, in contrast to recent theoretical trends, the dorsal sensory-motor stream is not a source of forward prediction that can facilitate speech recognition. Rather, it is forward prediction coming out of the ventral stream that serves this function. Learning outcomes Readers will (1) be able to explain the dual route model of speech processing including the function of the dorsal and ventral streams in language processing, (2) understand how disruptions to certain components of the dorsal stream can cause conduction aphasia, (3) be able to explain the fundamental principles of state feedback control in motor behavior, and (4) understand the role of predictive coding in motor control and in perception and how predictive coding coming out of the two streams may have different functional consequences.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hearing lips and seeing voices
MCGURK, H., & MACDONALD, J. (1976) · Nature · doi:10.1038/264746a0 · Cited by 6,183
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495
Self-citationA theory of lexical access in speech production
Levelt, W. J. M., Roelofs, A., & Meyer, A. S. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99001776 · Cited by 5,136
Ungerleider, L. G. (1982) · Medical Entomology and Zoology · Cited by 4,531
Ingle, D., Goodale, M. A., & Mansfield, R. J. W. (1982) · The MIT Press eBooks · Cited by 4,118
Milner, A. D., & Goodale, M. A. (2002) · Vision and Mind · doi:10.7551/mitpress/7111.003.0023 · Cited by 3,331
Speech Recognition with Primarily Temporal Cues
Shannon, R. V., Zeng, F.-G., Kamath, V., Wygonski, J., & Ekelid, M. (1995) · Science · doi:10.1126/science.270.5234.303 · Cited by 3,024
The TRACE model of speech perception
McClelland, J. L., & Elman, J. L. (1986) · Cognitive Psychology · doi:10.1016/0010-0285(86)90015-0 · Cited by 2,956
The motor theory of speech perception revised
Liberman, A. M., & Mattingly, I. G. (1985) · Cognition · doi:10.1016/0010-0277(85)90021-6 · Cited by 2,861
Where do you know what you know? The representation of semantic knowledge in the human brain
Patterson, K., Nestor, P. J., & Rogers, T. T. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2277 · Cited by 2,706
Cited by
The Ease of Language Understanding (ELU) model: theoretical, empirical, and clinical advances
Rönnberg, J., Lunner, T., Zekveld, A., Sörqvist, P., Danielsson, H., Lyxell, B., Dahlström, Ö., Signoret, C., Stenfelt, S., Pichora-Fuller, M. K., et al. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00031 · Cited by 989
The Cortical Organization of Syntax
Matchin, W., & Hickok, G. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz180 · Cited by 370
Self-citationMugler, E. M., Tate, M. C., Livescu, K., Templer, J. W., Goldrick, M. A., & Slutzky, M. W. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1206-18.2018 · Cited by 96
Affective and sensorimotor components of emotional prosody generation.
Pichon, S., & Kell, C. A. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3530-12.2013 · Cited by 86
Metadata
- Authors
- Hickok, G.
- Venue
- Journal of Communication Disorders
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 45
- Issue
- 6
- Pages
- 393-402
- ISSN
- 0021-9924 (ISSN-L)
- OpenAlex
- W1990905343
- Cited by
- 260
- References
- 112
- FWCI
- 6.76
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The cortical organization of speech processing: Feedback control and predictive coding the context of a dual-stream model. https://app.cochat.ai/papers/10.1016/j.jcomdis.2012.06.004
- The paper
- Hickok, G. (2012). The cortical organization of speech processing: Feedback control and predictive coding the context of a dual-stream model. Journal of Communication Disorders. https://doi.org/10.1016/j.jcomdis.2012.06.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.