ArticlePloS one
Generation of the Human Biped Stance by a Neural Controller Able to Compensate Neurological Time Delay.
Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 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
- The energetic cost of human standing balance and gait initiation over a range of natural postures.PLoS computational biology · 2026Article
- Analysis of abnormal posture in patients with Parkinson's disease using a computational model considering muscle tones.Frontiers in computational neuroscience · 2023Article
- Article
- A Neural Controller Model Considering the Vestibulospinal Tract in Human Postural Control.Frontiers in computational neuroscience · 2022Article
- Nonlinear postural control paradigm for larger perturbations in the presence of neural delays.Biological cybernetics · 2021Article
- High-gain observer-based nonlinear control scheme for biomechanical sit to stand movement in the presence of sensory feedback delays.PloS one · 2021Article
- Postural control of a musculoskeletal model against multidirectional support surface translations.PloS one · 2019Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of a physiologically plausible computational model of a neural controller that can realize a human-like biped stance is important for a large number of potential applications, such as assisting device development and designing robotic control systems. In this paper, we develop a computational model of a neural controller that can maintain a musculoskeletal model in a standing position, while incorporating a 120-ms neurological time delay. Unlike previous studies that have used an inverted pendulum model, a musculoskeletal model with seven joints and 70 muscular-tendon actuators is adopted to represent the human anatomy. Our proposed neural controller is composed of both feed-forward and feedback controls. The feed-forward control corresponds to the constant activation input necessary for the musculoskeletal model to maintain a standing posture. This compensates for gravity and regulates stiffness. The developed neural controller model can replicate two salient features of the human biped stance: (1) physiologically plausible muscle activations for quiet standing; and (2) selection of a low active stiffness for low energy consumption.
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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.