Motor Planning and Sparse Motor Command Representation


The present article proposes a novel computational approach to the motor planning. In the proposed approach, each motor command is represented as a linear combination of prefixed basis patterns, and the command for a given task is designed by minimizing a two-termed "information representation criterion" which consists of a task optimization term and a parameter preference term. The result of a computer simulation with a single-joint reaching task confirmed that the proposed framework appropriately worked, together with showing that the resultant trajectory qualitatively replicated Fitts' law.

Processingds of Fifteenth Annual Computational Neuroscience Meeting (CNS∗2006)