Learning to be Lazy: Exploiting Redundancy in a Novel Task to Minimize Movement-Related Effort
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
Journal
Volume
33
Issue
7
Pages
2754 - 2760
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History