HIGHLIGHTS
- who: Pascal Perrier from the Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Grenoble, France, Université Grenoble Alpes, CNRS, LPNC, University of Toronto, Canada have published the research work: Modeling Sensory Preference in Speech Motor Planning: A Bayesian Modeling Framework, in the Journal: (JOURNAL)
- what: The authors focus on the compensation resulting from adaptation, without considering the dynamics of the learning process underlying the transition from immediate compensation to final adaptation. The authors call it "Bayesian GEPPETO," because the planning layer, which is at the core of the present study, is described with a Bayesian . . .
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