The DOI matches its Crossref record; 153 of the 158 references it cites were found in a registry or an index.
Neural Representations and Mechanisms for the Performance of Simple Speech Sequences
Open accessAbstract
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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“Finally, the left putamen and thalamus were incorporated into a motor loop that passes activity from the SMA via the putamen to the thalamus and into the motor cortex (Bohland et al., 2010).”
From A review and synthesis of the first 20years of PET and fMRI studies of heard speech, spoken language and reading (2012) · cites this paper as Bohland et al., 2010
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Cites
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“Such multiplicative or shunting terms (Grossberg, 1973) are motivated by empirically observed cell membrane properties (e.g., Hodgkin & Huxley, 1952).”
Elman, J. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1402_1 · Cited by 11,212 · cited 2×
“More recent neural network models (Beiser & Houk, 1998; Elman, 1990; Lewandowsky & Murdock, 1989; Jordan, 1986) proposed revisions that rely”
Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527 · cited 3×
“The organization of BG circuits into largely parallel loops (Alexander & Crutcher, 1990; Alexander et al., 1986) offers one possible substrate for the cascaded processing stages that enable linguistic selections from competing alternatives; these selections (cf. choice layer activations) can then…”
The magical number 4 in short-term memory: A reconsideration of mental storage capacity
Cowan, N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01003922 · Cited by 6,779 · cited 1×
“These properties help explain why there is a low limit (see Cowan, 2000) to the number of items that can be planned in working memory and recalled in the correct order.”
A 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 5,295 · cited 3×
“SSM representations are functionally similar to a mental syllabary (Levelt & Wheeldon, 1994; Crompton, 1982), suggested by Levelt et al. (1999) to consist of a “repository of gestural scores for the frequently used syllables of the language” (p. 5).”
Speaking: from intention to articulation
(1989) · Choice Reviews Online · doi:10.5860/choice.27-1947 · Cited by 5,017 · cited 2×
“Such models generally follow the theoretical work of Levelt ( 1989 ), Garrett ( 1975 ), and others.”
Speaking: From Intention to Articulation
Levelt, W. J. M. (1989) · doi:10.7551/mitpress/6393.001.0001 · Cited by 4,804
Functional architecture of basal ganglia circuits: neural substrates of parallel processing
Alexander, G. E., & Crutcher, M. D. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90107-l · Cited by 4,131 · cited 3×
“Interactions between the cortex and the BG are organized into multiple loop circuits (Middleton & Strick, 2000; Alexander & Crutcher, 1990; Alexander, DeLong, & Strick, 1986).”
Speaking. From Intention to Articulation
Caplan, D. N. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90151-y · Cited by 4,036
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Cited by
Sorted by citations
Price, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.062 · Cited by 2,159
“Finally, the left putamen and thalamus were incorporated into a motor loop that passes activity from the SMA via the putamen to the thalamus and into the motor cortex (Bohland et al., 2010).”
MethodThe DIVA model: A neural theory of speech acquisition and production
Tourville, J. A., & Guenther, F. H. (2011) · Language and Cognitive Processes · doi:10.1080/01690960903498424 · Cited by 748
Self-citationConsensus Paper: Language and the Cerebellum: an Ongoing Enigma
Mariën, P., Ackermann, H., Adamaszek, M., Barwood, C. H. S., Beaton, A. A., Desmond, J. E., Witte, E. D., Fawcett, A. J., Hertrich, I., Küper, M., et al. (2013) · The Cerebellum · doi:10.1007/s12311-013-0540-5 · Cited by 533
“Parallel to the unfolding of this information, a feedback control subsystem corrects for perceived deviations of the preplanned movements from their predicted goals [55, 56].”
BackgroundA control process model of code-switching
Green, D. W., & Wei, L. (2014) · Language Cognition and Neuroscience · doi:10.1080/23273798.2014.882515 · Cited by 381
“Further levels (and so other competitive queuing networks) are needed for actual production and to account for speech errors (see Bohland et al., 2009 for details).”
BackgroundMethodThe Cortical Organization of Syntax
Matchin, W., & Hickok, G. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz180 · Cited by 370
Metadata
- 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
- PMC
- PMC2937837
- 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
- bronze
- doi.org
- 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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