ArticleFrontiers in computational neuroscience2018
The Benefit of Combining Neuronal Feedback and Feed-Forward Control for Robustness in Step Down Perturbations of Simulated Human Walking Depends on the Muscle Function.
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 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methods for integrating postural control into biomechanical human simulations: a systematic review.Journal of neuroengineering and rehabilitation · 2023Pooled it
- 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 spinal network of proprioceptive reflexes can produce a variety of bipedal gaits.Communications biology · 2025Article
- A model of the cerebellum generates gait adaptations in a reflex-based neuromusculoskeletal model during split-belt walking.Journal of neuroengineering and rehabilitation · 2025Article
- A model of the cerebellum generates gait adaptations in a reflex-based neuromusculoskeletal model during split-belt walking.bioRxiv : the preprint server for biology · 2025Article
- The effect of age-related sensorimotor changes on step-down strategy: a predictive simulation study.Scientific reports · 2025Article
- A PRISMA systematic review through time on predictive musculoskeletal simulations.Journal of neuroengineering and rehabilitation · 2025Article
- Emergence of natural and robust bipedal walking by learning from biologically plausible objectives.iScience · 2025Article
- Effects of Stroboscopic Vision on Depth Jump Motor Control: A Biomechanical Analysis.Bioengineering (Basel, Switzerland) · 2024Article
- Intuitive and versatile bionic legs: a perspective on volitional control.Frontiers in neurorobotics · 2024Article
- Muscle Strength Identification Based on Isokinetic Testing and Spine Musculoskeletal Modeling.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- Effects of aging-related muscle degeneration on dynamic stability during walking: a musculoskeletal computer simulation study.Frontiers in bioengineering and biotechnology · 2024Article
- Bioinspired preactivation reflex increases robustness of walking on rough terrain.Scientific reports · 2023Article
- Simulating the effect of ankle plantarflexion and inversion-eversion exoskeleton torques on center of mass kinematics during walking.PLoS computational biology · 2023Article
- Dysfunctional neuro-muscular mechanisms explain gradual gait changes in prodromal spastic paraplegia.Journal of neuroengineering and rehabilitation · 2023Article
- Muscle prestimulation tunes velocity preflex in simulated perturbed hopping.Scientific reports · 2023Article
- Muscle preflex response to perturbations in locomotion:Frontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is often assumed that the spinal control of human locomotion combines feed-forward central pattern generation with sensory feedback via muscle reflexes. However, the actual contribution of each component to the generation and stabilization of gait is not well understood, as direct experimental evidence for either is difficult to obtain. We here investigate the relative contribution of the two components to gait stability in a simulation model of human walking. Specifically, we hypothesize that a simple linear combination of feedback and feed-forward control at the level of the spinal cord improves the reaction to unexpected step down perturbations. In previous work, we found preliminary evidence supporting this hypothesis when studying a very reduced model of rebounding behaviors. In the present work, we investigate if the evidence extends to a more realistic model of human walking. We revisit a model that has previously been published and relies on spinal feedback control to generate walking. We extend the control of this model with a feed-forward muscle activation pattern. The feed-forward pattern is recorded from the unperturbed feedback control output. We find that the improvement in the robustness of the walking model with respect to step down perturbations depends on the ratio between the two strategies and on the muscle to which they are applied. The results suggest that combining feed-forward and feedback control is not guaranteed to improve locomotion, as the beneficial effects are dependent on the muscle and its function during walking.
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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.