ArticlePLoS computational biology2014
Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
40 citing papers in PubMed.
- Trial
- Mechanical control: parallel pathways for modulating movement.The Journal of experimental biology · 2026Review
- Dissociable sensory, motor, and visuomotor predictive functions.NPJ science of learning · 2025Article
- Article
- Human-Aware Control for Physically Interacting Robots.Bioengineering (Basel, Switzerland) · 2025Article
- Increased muscle coactivation is linked with fast feedback control when reaching in unpredictable visual environments.iScience · 2024Article
- Co-contraction embodies uncertainty: An optimal feedforward strategy for robust motor control.PLoS computational biology · 2024Article
- Erroneous Compensation for Long-Latency Feedback Delays as Origin of Essential Tremor.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Muscle short-range stiffness behaves like a maxwell element, not a spring: Implications for joint stability.PloS one · 2024Article
- The nervous system tunes sensorimotor gains when reaching in variable mechanical environments.iScience · 2023Article
- Voluntary muscle coactivation in quiet standing elicits reciprocal rather than coactive agonist-antagonist control of reactive balance.Journal of neurophysiology · 2023Article
- Changes in Resting State Functional Connectivity Associated with Dynamic Adaptation of Wrist Movements.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects.Neural computation · 2023Article
- The sensorimotor system modulates muscular co-contraction relative to visuomotor feedback responses to regulate movement variability.Journal of neurophysiology · 2023Article
- Concurrent Contribution of Co-Contraction to Error Reduction During Dynamic Adaptation of the Wrist.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023Article
- What is the nature of motor adaptation to dynamic perturbations?PLoS computational biology · 2022Article
- An approximate stochastic optimal control framework to simulate nonlinear neuro-musculoskeletal models in the presence of noise.PLoS computational biology · 2022Article
- Integration of proprioceptive and visual feedback during online control of reaching.Journal of neurophysiology · 2022Article
- Random Practice Enhances Retention and Spatial Transfer in Force Field Adaptation.Frontiers in human neuroscience · 2022Article
- Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision.PLoS computational biology · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
Abstract
Feedback delays are a major challenge for any controlled process, and yet we are able to easily control limb movements with speed and grace. A popular hypothesis suggests that the brain largely mitigates the impact of feedback delays (∼50 ms) by regulating the limb intrinsic visco-elastic properties (or impedance) with muscle co-contraction, which generates forces proportional to changes in joint angle and velocity with zero delay. Although attractive, this hypothesis is often based on estimates of limb impedance that include neural feedback, and therefore describe the entire motor system. In addition, this approach does not systematically take into account that muscles exhibit high intrinsic impedance only for small perturbations (short-range impedance). As a consequence, it remains unclear how the nervous system handles large perturbations, as well as disturbances encountered during movement when short-range impedance cannot contribute. We address this issue by comparing feedback responses to load pulses applied to the elbow of human subjects with theoretical simulations. After validating the model parameters, we show that the ability of humans to generate fast and accurate corrective movements is compatible with a control strategy based on state estimation. We also highlight the merits of delay-uncompensated robust control, which can mitigate the impact of internal model errors, but at the cost of slowing feedback corrections. We speculate that the puzzling observation of presynaptic inhibition of peripheral afferents in the spinal cord at movement onset helps to counter the destabilizing transition from high muscle impedance during posture to low muscle impedance during movement.
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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.