Abstract
The dynamical systems underlying the performance and learning of skilled behaviors can be analyzed in terms of state-, parameter-, and graph-dynamics. We review these concepts and then focus on the manner in which variation in dynamical graph structure can be used to explicate the temporal patterning of speech. Simulations are presented of speech gestural sequences using the task-dynamic model of speech production, and the importance of system graphs in shaping intergestural relative phasing patterns (both their mean values and their variability) within and between syllables is highlighted.
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Saltzman, E., Nam, H., Goldstein, L., Byrd, D. (2006). The Distinctions Between State, Parameter and Graph Dynamics in Sensorimotor Control and Coordination. In: Latash, M.L., Lestienne, F. (eds) Motor Control and Learning. Springer, Boston, MA. https://doi.org/10.1007/0-387-28287-4_6
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DOI: https://doi.org/10.1007/0-387-28287-4_6
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