ArticleJournal of neural engineering2015
An action potential-driven model of soleus muscle activation dynamics for locomotor-like movements.
Article in Journal of neural engineering, 2015. 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 8 papers.
What it found
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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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Who cites it
8 citing papers in PubMed.
- Neuromuscular Electrical Stimulation-Enhanced Physical Therapist Intervention for Functional Posterior Shoulder Instability (Type B1): A Multicenter Randomized Controlled Trial.Physical therapy · 2024Trial
- Cross-bridge model for predicting muscle short-range stiffness during movement.PLoS computational biology · 2026Article
- Automating population construction and parallel simulation of biophysical models for neuromuscular cells: An inverse approach.PLoS computational biology · 2026Article
- Effects of a Motion-Triggered Neuromuscular Electrical Stimulation Strength Program on Shoulder Strength and Throwing Velocity in Elite Handball Players.Journal of clinical medicine · 2026Article
- JiSuJi, a virtual muscle for small animal simulations, accurately predicts force from naturalistic spike trains.bioRxiv : the preprint server for biology · 2025Article
- A dynamic calcium-force relationship model for sag behavior in fast skeletal muscle.PLoS computational biology · 2023Article
- Force variability is mostly not motor noise: Theoretical implications for motor control.PLoS computational biology · 2021Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
objectiveThe goal of this study was to develop a physiologically plausible, computationally robust model for muscle activation dynamics (A(t)) under physiologically relevant excitation and movement. APPROACH: The interaction of excitation and movement on A(t) was investigated comparing the force production between a cat soleus muscle and its Hill-type model. For capturing A(t) under excitation and movement variation, a modular modeling framework was proposed comprising of three compartments: (1) spikes-to-[Ca(2+)]; (2) [Ca(2+)]-to-A; and (3) A-to-force transformation. The individual signal transformations were modeled based on physiological factors so that the parameter values could be separately determined for individual modules directly based on experimental data. MAIN
resultsThe strong dependency of A(t) on excitation frequency and muscle length was found during both isometric and dynamically-moving contractions. The identified dependencies of A(t) under the static and dynamic conditions could be incorporated in the modular modeling framework by modulating the model parameters as a function of movement input. The new modeling approach was also applicable to cat soleus muscles producing waveforms independent of those used to set the model parameters. SIGNIFICANCE: This study provides a modeling framework for spike-driven muscle responses during movement, that is suitable not only for insights into molecular mechanisms underlying muscle behaviors but also for large scale simulations.
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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.