Neural modeling and imaging of the cortical interactions underlying syllable production.

By Frank H. Guenther, Satrajit S. Ghosh, Jason A. Tourville. Brain and Language, 2006

934 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/ad6dad3505a13837b2cb9d6b7e63d577a8fb439e

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Citations in the corpus

The Effect of Imagination on Stimulation: The Functional Specificity of Efference Copies in Speech Processing (2013, background): “In addition to the auditory cortices, inferior frontal gyrus (IFG), and adjacent premotor cortex also show enhancement, consistent with the hypothesis that an articulation efference copy is generated over these frontal regions (Hickok, 2012; Tian & Poeppel, 2010, 2012; Guenther et al., 2006).”
An fMRI investigation of syllable sequence production (2006, methodology): “Previous computational studies in our laboratory have led to the implementation of a neural model that is capable of learning and producing (by means of a computer-simulated vocal tract) simple speech sounds (Guenther, 1994, 1995; Guenther et al., 1998, 2006).”
Shared and distinct neural correlates of singing and speaking (2006, background): “In this model, the superior temporal gyrus receives projections from the frontal motor cortical areas that predict the sound of one’s own voice and compare them with the auditory feedback (Guenther, 2001; Guenther and Ghosh, 2003; Guenther et al., 2006).”
A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading (2012, background): “More posteriorly, in the left premotor cortex (BA 6), activation was associated with compiling motor codes for syllables (Indefrey and Levelt, 2004) and a “speech sound map” that linked phonemes or frequent syllables to their associated motor programs (Guenther et al., 2006).”
Neural representations and mechanisms for the performance of simple speech sequences (2010, positive): “The SSM is a component of the DIVA model (Guenther et al., 1998, 2006; Guenther, 1995) that is hypothesized to contain cells that, when activated, “readout” motor programs and sensory expectations for well-learned speech sounds.”
Active perception: sensorimotor circuits as a cortical basis for language (2010, background): “The importance of sensory input for action control is widely accepte”
Sensorimotor Integration in Speech Processing: Computational Basis and Neural Organization (2011, background): “The architecture is fundamentally that of a SFC system with a controller, or set of controllers (Haruno et al., 2001), localized to primary motor cortex, which generates motor commands to the vocal tract and sends a corollary discharge to an internal model which makes forward predictions about both…”
The effect of rehearsal rate and memory load on verbal working memory (2015, positive): “, 1993), PM (BA 6) thought to play an important role in the selection of phoneme- and syllable-level representations during speech production (Guenther et al., 2006) and area Spt thought act as an auditory–motor interface (Buchsbaum et al.”
eview hat is that little voice inside my head ? Inner speech henomenology , its role in cognitive performance , and ts relation to self-monitoring (2014, neutral): “[133,137,138]) and lso to inner speech [59,139–141].”
Speech Production as State Feedback Control (2011, methodology): “A discrete-time version of the DIVA model is shown in Figure 1 , which shows the anatomical locations of model components, as postulated by Guenther et al. (2006).”
Mental imagery of speech: linking motor and perceptual systems through internal simulation and estimation (2012, background): “Note that we do not exclude the possible existence of a parallel estimation process that links motor simulation to somatosensory and auditory systems separately (Guenther et al., 2006; Price et al., 2011).”
Principles of motor learning in treatment of motor speech disorders. (2008, result): “Finally, random practice appears to facilitate learning of functional movement sequences in hemiparesis following unilateral stroke (Hanlon, 1996), as compared to blocked practice. C. H. Shea and Wulf (2005) noted that practice schedule effects are not predicted by Schema Theory and discussed two al”