A neural theory of speech acquisition and production

This article describes a computational model, called DIVA, that provides a quantitative framework for understanding the roles of various brain regions involved in speech acquisition and production. An overview of the DIVA model is first provided, along with descriptions of the computations performed...

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Vydáno v:Journal of neurolinguistics Ročník 25; číslo 5; s. 408 - 422
Hlavní autoři: Guenther, Frank H., Vladusich, Tony
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Elsevier Ltd 01.09.2012
Témata:
Brain
Computational neuroscience
Cortex (motor)
Cortex (premotor)
Cortex (somatosensory)
fMRI
Functional Magnetic Resonance Imaging
Language Acquisition
Mirror system
Motor control
Neural model
Neuroimaging
Neurons
Perception
Reviews
Sound
speech
Speech Motor Control
speech perception
Speech Production
Speech Sounds
Speech production
fMRI
Motor control
Mirror system
Neural model
ISSN:0911-6044, 1873-8052
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Popis
Shrnutí:This article describes a computational model, called DIVA, that provides a quantitative framework for understanding the roles of various brain regions involved in speech acquisition and production. An overview of the DIVA model is first provided, along with descriptions of the computations performed in the different brain regions represented in the model. Particular focus is given to the model's speech sound map, which provides a link between the sensory representation of a speech sound and the motor program for that sound. Neurons in this map share with “mirror neurons” described in monkey ventral premotor cortex the key property of being active during both production and perception of specific motor actions. As the DIVA model is defined both computationally and anatomically, it is ideal for generating precise predictions concerning speech-related brain activation patterns observed during functional imaging experiments. The DIVA model thus provides a well-defined framework for guiding the interpretation of experimental results related to the putative human speech mirror system.
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Corresponding author: Telephone: (617) 353-5765, Fax Number: (617) 353-7755, guenther@cns.bu.edu
ISSN:0911-6044
1873-8052
DOI:10.1016/j.jneuroling.2009.08.006