Abstract
Publisher Summary This chapter describes the applications to disorders of motor control. Adaptive Model Theory (AMT) is a computational theory of the information processing performed by the human central nervous system during control of purposive movement. The chapter begins with an overview of AMT which incorporates sensory analysis, response planning and response execution stages of information processing, the concept of intermittency in movement control, and the notion of a Basic Unit of Motor Production or BUMP. There is a development of the idea that a finite interval of time, typically 100–200 ms, is required to preplan a response as a trajectory of desired reference. This sensory trajectory is transformed in real time into appropriately coordinated motor commands with an adaptive internal model of the inverse dynamic relationships between outgoing motor commands and their resulting sensory consequences. In addition, a detailed description of the principles of adaptive modeling of multivariable nonlinear dynamic systems is provided and the chapter overviews an AMT-based computer simulation of human operator performance of a pursuit tracking task. Lastly, the implications of AMT for disorders of motor control as diverse as cerebral palsy and stuttering are explored in the chapter.
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