Jeudi 5 mai 2022
Discussion avec Prof. Frank Guenther autour des présentations des membres du LPL :
14h-14h40 : Noël Nguyen & Kristof Strijkers : Phonetic and semantic convergence in speech communication
14h40-15h10 : Serge Pinto: Studying speech motor control from its impairment: the cases of hypo- and hyperkinetic dysarthrias
15h10-15h30 : Coffee break
15h30-16h10 : Elin Runnqvist, Lydia Dorokhova & Snezana Todorović : Action monitoring from tongue movements to words
16h10-16h40 : Anne-Sophie Dubarry : Exploring the variability of neurophysiological data during language processing
Vendredi 6 mai 2022, 10h30-12h00
Session plénière par Prof. Frank Guenther (Speech Neuroscience 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
