A new computational model combining motor synergies and internal model theory captures human motor learning dynamics in high-DoF tasks, establishes convergence, validates on human game data, and shows parameter tuning optimizes speed-accuracy and other trade-offs.
Robust Adaptive Control , volume 1
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Human Motor Learning Dynamics in High-dimensional Tasks
A new computational model combining motor synergies and internal model theory captures human motor learning dynamics in high-DoF tasks, establishes convergence, validates on human game data, and shows parameter tuning optimizes speed-accuracy and other trade-offs.