Muscle, Biomechanics, and Implications for Neural Control-Reference-Cited by-同舟云学术

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Muscle, Biomechanics, and Implications for Neural Control

Published:2017-06-23 Issue: Volume: Page:365-416
ISSN:
Container-title:Neurobiology of Motor Control
language:
Short-container-title:

Author:

Ting Lena H.¹²,Chiel Hillel J.³

Affiliation:

1. Department of Biomedical Engineering; Emory University and Georgia Institute of Technology; Atlanta GA USA

2. Department of Rehabilitation Medicine; Division of Physical Therapy, Emory University; Atlanta GA USA

3. Departments of Biology, Neurosciences, and Biomedical Engineering; Case Western Reserve University; Cleveland OH USA

Publisher

John Wiley & Sons, Inc.

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/9781118873397.ch12/fullpdf

Reference288 articles.

1. The force exerted by active striated muscle during and after change of length;Abbott;J Physiol,1952

2. How muscles function-the work loop technique;Ahn;J Exp Biol,2012

3. A motor and a brake: two leg extensor muscles acting at the same joint manage energy differently in a running insect;Ahn;J Exp Biol,2002

4. In situ muscle power differs without varying in vitro mechanical properties in two insect leg muscles innervated by the same motorneuron;Ahn;J Exp Biol,2006

5. The influence of merged muscle excitation modules on post-stroke hemiparetic walking performance;Allen;Clin Biomech,2013

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1. Predicting visually-modulated precisely-timed spikes across a coordinated and comprehensive motor program;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

2. Biomechanics, motor control and dynamic models of the soft limbs of the octopus and other cephalopods;Journal of Experimental Biology;2023-04-21

3. Perturbing the muscle work loop paradigm to unravel the neuromechanics of unsteady locomotion;Journal of Experimental Biology;2023-04-01

4. A complete biomechanical model of Hydra contractile behaviors, from neural drive to muscle to movement;Proceedings of the National Academy of Sciences;2023-03-10

5. A machine learning approach to quantify individual gait responses to ankle exoskeletons;2023-01-21

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