Learning to be Lazy: Exploiting Redundancy in a Novel Task to Minimize Movement-Related Effort

Volume: 33, Issue: 7, Pages: 2754 - 2760
Published: Feb 13, 2013
Abstract
A key issue in motor control is to understand how the motor system chooses a solution from the multiple solutions that exist to achieve any particular task goal. One hypothesis is that redundancy may be resolved by minimizing movement-related costs. However, testing this prediction in motor learning has been problematic in simple laboratory tasks, like reaching, because the motor system already has extensive prior knowledge about redundancy in...
Paper Details
Title
Learning to be Lazy: Exploiting Redundancy in a Novel Task to Minimize Movement-Related Effort
Published Date
Feb 13, 2013
Volume
33
Issue
7
Pages
2754 - 2760
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