It will appear in a special issue commemorating 30 years since Levelt published his model of word production - from higher order conceptualization to articulation of speech sounds. We took a historical perspective in describing the neural mechanisms of speech production 2/
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By 1989, a number of models and theories of speech production had been debated but none could account for the many phenomena associated with speaking, such as motor equivalence (multiple vocal tract configurations resulting in the same sound) or the role of auditory feedback 3/
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At the same time, empirical findings were limited by the lack of an animal model of speech production and much of what we knew about the brain controlling speech was from studies of vocalizations in nonhuman primates and lesion and stimulation studies in humans 4/
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In the years that followed, Guenther and colleagues developed, tested and refined a neural network model of the brain computations involved in producing speech (DIVA). The DIVA framework and model predictions have since guided many empirical studies of speech production 5/
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In parallel, the development of cognitive neuroimaging - from PET to fMRI to lesion-symptom mapping – transformed our ability to conduct neurophysiological studies in a large number of individuals both with and without communication disorders 6/
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The development of neurally-specified models and the technology to test model predictions propelled the field forward in providing a mechanistic understanding of speech motor control. These methods are being harnessed to better understand (+ ultimately treat) speech disorders 7/
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50 free copies available here: https://www.tandfonline.com/eprint/i9kT2KabIRejGsZQBGVy/full?target=10.1080/23273798.2019.1589541 … 8/8
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Nice work
@ek_kearney!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Congrats!! Looking forward to reading
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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