ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2010
Spinal-like regulator facilitates control of a two-degree-of-freedom wrist.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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50 citing papers in PubMed, 106 citations in OpenAlex.
- Role of spinal sensorimotor circuits in triphasic muscle command: a simulation approach using goal exploration process.Frontiers in computational neuroscience · 2026Article
- Feedback parameters for a closed-loop multiple-input multiple-output model of the upper limb.PLoS computational biology · 2025Article
- Closed-loop coupling of both physiological spindle model and spinal pathways for sensorimotor control of human center-out reaching.Frontiers in computational neuroscience · 2025Article
- A computational study of how an α- to γ-motoneurone collateral can mitigate velocity-dependent stretch reflexes during voluntary movement.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- 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
- Study of the internal mechanism of attention focus affecting countermovement jump performance based on muscle synergy theory.PloS one · 2024Article
- The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation.PLoS computational biology · 2024Article
- Numerical instability of Hill-type muscle models.Journal of the Royal Society, Interface · 2023Review
- Linking cortex and contraction-Integrating models along the corticomuscular pathway.Frontiers in physiology · 2023Article
- A model for self-organization of sensorimotor function: spinal interneuronal integration.Journal of neurophysiology · 2022Article
- Diversified physiological sensory input connectivity questions the existence of distinct classes of spinal interneurons.iScience · 2022Article
- Developing Intelligent Robots that Grasp Affordance.Frontiers in robotics and AI · 2022Review
- Learning to use Muscles.Journal of human kinetics · 2021Article
- Integrating Non-spiking Interneurons in Spiking Neural Networks.Frontiers in neuroscience · 2021Article
- On the Relationship Between Muscle Synergies and Redundant Degrees of Freedom in Musculoskeletal Systems.Frontiers in computational neuroscience · 2019Article
- Modularity speeds up motor learning by overcoming mechanical bias in musculoskeletal geometry.Journal of the Royal Society, Interface · 2018Article
- Real-time slacking as a default mode of grip force control: implications for force minimization and personal grip force variation.Journal of neurophysiology · 2018Article
- Cardinal features of involuntary force variability can arise from the closed-loop control of viscoelastic afferented muscles.PLoS computational biology · 2018Article
- Feasibility Theory Reconciles and Informs Alternative Approaches to Neuromuscular Control.Frontiers in computational neuroscience · 2018Article
- Systems Analysis of Human Visuo-Myoelectric Control Facilitated by Anodal Transcranial Direct Current Stimulation in Healthy Humans.Frontiers in neuroscience · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The performance of motor tasks requires the coordinated control and continuous adjustment of myriad individual muscles. The basic commands for the successful performance of a sensorimotor task originate in "higher" centers such as the motor cortex, but the actual muscle activation and resulting torques and motion are considerably shaped by the integrative function of the spinal interneurons. The relative contributions of brain and spinal cord are less clear for reaching movements than for automatic tasks such as locomotion. We have modeled a two-axis, four-muscle wrist joint with realistic musculoskeletal mechanics and proprioceptors and a network of regulatory circuitry based on the classical types of spinal interneurons (propriospinal, monosynaptic Ia-excitatory, reciprocal Ia-inhibitory, Renshaw inhibitory, and Ib-inhibitory pathways) and their supraspinal control (via biasing activity, presynaptic inhibition, and fusimotor gain). The modeled system has a very large number of control inputs, not unlike the real spinal cord that the brain must learn to control to produce desired behaviors. It was surprisingly easy to program this model to emulate actual performance in four very different but well described behaviors: (1) stabilizing responses to force perturbations; (2) rapid movement to position target; (3) isometric force to a target level; and (4) adaptation to viscous curl force fields. Our general hypothesis is that, despite its complexity, such regulatory circuitry substantially simplifies the tasks of learning and producing complex movements.
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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.