ArticleFrontiers in computational neuroscience2018
Feasibility Theory Reconciles and Informs Alternative Approaches to Neuromuscular Control.
Article in Frontiers in computational neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 27 citations in OpenAlex.
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- An alpha- to gamma-motoneurone collateral can mitigate velocity-dependent stretch reflexes during voluntary movement: A computational study.bioRxiv : the preprint server for biology · 2024Article
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- Neuromuscular control: from a biomechanist's perspective.Frontiers in sports and active living · 2023Review
- Stabilizing leaning postures with feedback controlled functional neuromuscular stimulation after trunk paralysis.Frontiers in rehabilitation sciences · 2023Article
- Muscle redundancy is greatly reduced by the spatiotemporal nature of neuromuscular control.Frontiers in rehabilitation sciences · 2023Article
- Temporal control of muscle synergies is linked with alpha-band neural drive.The Journal of physiology · 2021Article
- Learning to use Muscles.Journal of human kinetics · 2021Article
- How Do Movement Patterns in Weightlifting (Clean) Change When Using Lighter or Heavier Barbell Loads?-A Comparison of Two Principal Component Analysis-Based Approaches to Studying Technique.Frontiers in psychology · 2020Article
- Humans use multi-objective control to regulate lateral foot placement when walking.PLoS computational biology · 2019Article
- Effects of kinematic complexity and number of muscles on musculoskeletal model robustness to muscle dysfunction.PloS one · 2019Article
- Editorial: Neuromechanics and Control of Physical Behavior: From Experimental and Computational Formulations to Bio-inspired Technologies.Frontiers in computational neuroscience · 2019Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
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Abstract
We present Feasibility Theory, a conceptual and computational framework to unify today's theories of neuromuscular control. We begin by describing how the musculoskeletal anatomy of the limb, the need to control individual tendons, and the physics of a motor task uniquely specify the family of all valid muscle activations that accomplish it (its 'feasible activation space'). For our example of producing static force with a finger driven by seven muscles, computational geometry characterizes-in a complete way-the structure of feasible activation spaces as 3-dimensional polytopes embedded in 7-D. The feasible activation space for a given task is
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