ArticleScientific reports2019
Neuromusculoskeletal model that walks and runs across a speed range with a few motor control parameter changes based on the muscle synergy hypothesis.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.
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Who cites it
40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.
- Effect of exercise-based interventions on stroke rehabilitation: an umbrella review of systematic reviews and meta-analyses.Journal of neuroengineering and rehabilitation · 2025Pooled it
- Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review.Journal of neuroengineering and rehabilitation · 2024Pooled it
- An explicit strategy facilitates adaptation to virtual surgeries by biasing the recruitment of existing synergies.iScience · 2026Article
- Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026Review
- Unified comparison of spinal locomotion control architectures in neuromechanical simulations.bioRxiv : the preprint server for biology · 2026Article
- Modulating reflexes enables speed control in simulated human walking and running.Scientific reports · 2026Article
- Synergy Feedback Control Predicts Walking Across Multiple Cycles.bioRxiv : the preprint server for biology · 2026Article
- Synergy-based feedforward with minimal feedback control predicts walking over multiple cycles.Frontiers in bioengineering and biotechnology · 2026Article
- A PRISMA systematic review through time on predictive musculoskeletal simulations.Journal of neuroengineering and rehabilitation · 2025Article
- Decreased spinal inhibition leads to undiversified locomotor patterns.Biological cybernetics · 2025Article
- Predicting lower body joint moments and electromyography signals using ground reaction forces during walking and running: An artificial neural network approach.Gait & posture · 2025Article
- Biomechanical models in the lower-limb exoskeletons development: a review.Journal of neuroengineering and rehabilitation · 2025Review
- Article
- Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling.Frontiers in sports and active living · 2025Article
- Controlling a simple model of bipedal walking to adapt to a wide range of target step lengths and step frequencies.PloS one · 2025Article
- Effects of foot-ground friction and age-related gait changes on falls during walking: a computational study using a neuromusculoskeletal model.Scientific reports · 2024Article
- Whole leg compression garments influence lower limb kinematics and associated muscle synergies during running.Frontiers in bioengineering and biotechnology · 2024Article
- Higher coactivations of lower limb muscles increase stability during walking on slippery ground in forward dynamics musculoskeletal simulation.Scientific reports · 2023Article
- Acquisition of bipedal locomotion in a neuromusculoskeletal model with unilateral transtibial amputation.Frontiers in bioengineering and biotechnology · 2023Article
- Investigation of neural and biomechanical impairments leading to pathological toe and heel gaits using neuromusculoskeletal modelling.The Journal of physiology · 2022Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Humans walk and run, as well as change their gait speed, through the control of their complicated and redundant musculoskeletal system. These gaits exhibit different locomotor behaviors, such as a double-stance phase in walking and flight phase in running. The complex and redundant nature of the musculoskeletal system and the wide variation in locomotion characteristics lead us to imagine that the motor control strategies for these gaits, which remain unclear, are extremely complex and differ from one another. It has been previously proposed that muscle activations may be generated by linearly combining a small set of basic pulses produced by central pattern generators (muscle synergy hypothesis). This control scheme is simple and thought to be shared between walking and running at different speeds. Demonstrating that this control scheme can generate walking and running and change the speed is critical, as bipedal locomotion is dynamically challenging. Here, we provide such a demonstration by using a motor control model with 69 parameters developed based on the muscle synergy hypothesis. Specifically, we show that it produces both walking and running of a human musculoskeletal model by changing only seven key motor control parameters. Furthermore, we show that the model can walk and run at different speeds by changing only the same seven parameters based on the desired speed. These findings will improve our understanding of human motor control in locomotion and provide guiding principles for the control design of wearable exoskeletons and prostheses.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.