Cited by 393Neurobiology of Language and BilingualismPhonetics and Phonology ResearchLanguage Development and Disorders

Neural representations and mechanisms for the performance of simple speech sequences

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Bohland, Jason W., Bullock, Daniel, Guenther, Frank H.·2010·Journal of Cognitive Neuroscience

Abstract

Speakers plan the phonological content of their utterances before their release as speech motor acts. Using a finite alphabet of learned phonemes and a relatively small number of syllable structures, speakers are able to rapidly plan and produce arbitrary syllable sequences that fall within the rules of their language. The class of computational models of sequence planning and performance termed competitive queuing models have followed K. S. Lashley [The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior (pp. 112-136). New York: Wiley, 1951] in assuming that inherently parallel neural representations underlie serial action, and this idea is increasingly supported by experimental evidence. In this article, we developed a neural model that extends the existing DIVA model of speech production in two complementary ways. The new model includes paired structure and content subsystems [cf. MacNeilage, P. F. The frame/content theory of evolution of speech production. Behavioral and Brain Sciences, 21, 499-511, 1998 ] that provide parallel representations of a forthcoming speech plan as well as mechanisms for interfacing these phonological planning representations with learned sensorimotor programs to enable stepping through multisyllabic speech plans. On the basis of previous reports, the model's components are hypothesized to be localized to specific cortical and subcortical structures, including the left inferior frontal sulcus, the medial premotor cortex, the basal ganglia, and the thalamus. The new model, called gradient order DIVA, thus fills a void in current speech research by providing formal mechanistic hypotheses about both phonological and phonetic processes that are grounded by neuroanatomy and physiology. This framework also generates predictions that can be tested in future neuroimaging and clinical case studies.

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  1. Abeles M 1991 Corticonics - Neural circuits of the cerebral cortex Cambridge, UK Cambridge University Press
  2. Fudge EC 1969 Syllables Journal of Linguistics 5 226 320
  3. Levelt WJM Roelofs A Meyer AS 1999 A theory of lexical access in speech production Behavioral and Brain Sciences 22 1 1 38 11301520

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Authors
Bohland, J. W., Bullock, D., & Guenther, F. H.
Affiliations
  • Cold Spring Harbor Laboratory (US)
  • Boston University (US)
Venue
Journal of Cognitive Neuroscience
Publisher
MIT Press
Published
2010-07-01
Volume
22
Issue
7
Pages
1504-1529
ISSN
  • 0898-929X (ISSN-L)
  • 1530-8898
OpenAlex
W2114774561
Cited by
393
References
158
Citations by year
2026: 21 · 2025: 26 · 2024: 29 · 2023: 33 · 2022: 64 · 2021: 15 · 2020: 22 · 2019: 40 · 2018: 18 · 2017: 26 · 2016: 19 · 2015: 23 · 2014: 16 · 2013: 18 · 2012: 10
FWCI
3.72
Type
journal article
Language
en
Open access
Locations
  • Journal of Cognitive Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
Funders
  • National Science Foundation (0354378)
  • National Institutes of Health (NIH-R01, DC002852)
  • National Institute on Deafness and Other Communication Disorders (R01DC002852, R01DC007683)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
  • Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
Keywords
speech production, phonological planning, sequence planning, DIVA model, serial order, basal ganglia, thalamus
MeSH terms
Basal Ganglia, Computer Simulation, Frontal Lobe, Models, Neurological, Neural Pathways, Phonetics, Psychomotor Performance, Speech, Thalamus

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