288 pp. per issue
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Neural Computation

August 2015, Vol. 27, No. 8, Pages 1721-1737
(doi: 10.1162/NECO_a_00757)
© 2015 Massachusetts Institute of Technology
Optimality of Upper-Arm Reaching Trajectories Based on the Expected Value of the Metabolic Energy Cost
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When we move our body to perform a movement task, our central nervous system selects a movement trajectory from an infinite number of possible trajectories under constraints that have been acquired through evolution and learning. Minimization of the energy cost has been suggested as a potential candidate for a constraint determining locomotor parameters, such as stride frequency and stride length; however, other constraints have been proposed for a human upper-arm reaching task. In this study, we examined whether the minimum metabolic energy cost model can also explain the characteristics of the upper-arm reaching trajectories. Our results show that the optimal trajectory that minimizes the expected value of energy cost under the effect of signal-dependent noise on motor commands expresses not only the characteristics of reaching movements of typical speed but also those of slower movements. These results suggest that minimization of the energy cost would be a basic constraint not only in locomotion but also in upper-arm reaching.