Webinar: Computational Models of Reaching to Test Hypotheses in Motor Control

Описание к видео Webinar: Computational Models of Reaching to Test Hypotheses in Motor Control

Speaker: Mazen Al Borno, Stanford University

In this webinar, you'll learn about the use of computational modeling to 1) test theories behind the speed-accuracy tradeoff and 2) determine if muscle synergies can produce the rich and flexible behaviors seen in everyday movements.

To learn more about the studies presented in this webinar, visit the following:

1. Speed-Accuracy Study
High-fidelity Musculoskeletal Modeling Reveals a Motor Planning Contribution to the Speed-Accuracy Tradeoff Mazen Al Borno, Saurabh Vyas, Krishna V. Shenoy, Scott L. Delp
doi: https://doi.org/10.1101/804088

Source code and data:
https://simtk.org/projects/ue-reaching

2. Synergies Study
The Effects of Motor Modularity on Performance, Generalizability and Learning in Upper-Extremity Reaching: a Computational Analysis Mazen Al Borno, Jennifer L. Hicks, Scott L. Delp
doi: https://doi.org/10.1101/804096

Source code and data:
https://simtk.org/projects/ue-synergies

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