Séminaire du Laboratoire Parole et Langage, Franck Guenther, Speech Neuroscience Lab, Boston University, "Neurocomputational modeling of speech production" [May 6, 2022]
Séminaire de l’équipe de recherche | Research team seminar
Franck Guenther (Speech Neuscience Lab, Boston University)
Neurocomputational modeling of speech production
Speech production is a highly complex sensorimotor task involving tightly coordinated processing in the frontal, temporal, and parietal lobes of the cerebral cortex. To better understand these processes, our laboratory has designed, experimentally tested, and iteratively refined a neural network model, called the DIVA model, whose components correspond to the brain regions involved in speech. Babbling and imitation phases are used to train neural mappings between phonological, articulatory, auditory, and somatosensory representations. After the imitation phase, the model can produce learned phonemes and syllables by generating movements of an articulatory synthesizer. An extended version of the model, called GODIVA, addresses the neural circuitry underlying the buffering and sequencing of phonological units in multi-syllabic utterances. Because the model’s components correspond to neural populations and are given precise anatomical locations, activity in the model’s neurons can be compared directly to neuroimaging data. Computer simulations of the model account for a wide range of experimental findings, including data on acquisition of speaking skills, articulatory kinematics, and brain activity during normal and perturbed speech. Furthermore, “damaged” versions of the model are being used to investigate several communication disorders, including stuttering, apraxia of speech, and hypokinetic dysarthria.
Updated on:May 20, 2022, 11:25 a.m.
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