ArticleScientific reports2018
Adaptive hindlimb split-belt treadmill walking in rats by controlling basic muscle activation patterns via phase resetting.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
- Limb-specific modulation of muscle synergies and segmental coordination during curved running.Experimental brain research · 2026Article
- Spatial and temporal modulation of intra-limb coordination in kinematic synergies during hindlimb split-belt treadmill walking in rats.Scientific reports · 2026Article
- Neuromuscular Basis of Kinematic Adaptations During Bidirectional Walking.bioRxiv : the preprint server for biology · 2026Article
- Mechanisms of adaptive interlimb coordination to sudden ground loss: a neuromusculoskeletal modeling study.bioRxiv : the preprint server for biology · 2025Article
- Balancing central control and sensory feedback produces adaptable and robust locomotor patterns in a spiking, neuromechanical model of the salamander spinal cord.PLoS computational biology · 2025Article
- Miniature linear and split-belt treadmills reveal mechanisms of adaptive motor control in walking Drosophila.Current biology : CB · 2024Article
- Three Characteristics of Cheetah Galloping Improve Running Performance Through Spinal Movement: A Modeling Study.Frontiers in bioengineering and biotechnology · 2022Article
- Contribution of Phase Resetting to Statistical Persistence in Stride Intervals: A Modeling Study.Frontiers in neural circuits · 2022Article
- Osseosurface electronics-thin, wireless, battery-free and multimodal musculoskeletal biointerfaces.Nature communications · 2021Article
- Dynamical determinants enabling two different types of flight in cheetah gallop to enhance speed through spine movement.Scientific reports · 2021Article
- Fast and Slow Adaptations of Interlimb CoordinationFrontiers in robotics and AI · 2021Article
- Contribution of Phase Resetting to Adaptive Rhythm Control in Human Walking Based on the Phase Response Curves of a Neuromusculoskeletal Model.Frontiers in neuroscience · 2020Article
- Neuromusculoskeletal model that walks and runs across a speed range with a few motor control parameter changes based on the muscle synergy hypothesis.Scientific reports · 2019Article
- Phase-Dependent Response to Afferent Stimulation During Fictive Locomotion: A Computational Modeling Study.Frontiers in neuroscience · 2019Article
- Gait Generation and Its Energy Efficiency Based on Rat Neuromusculoskeletal Model.Frontiers in neuroscience · 2019Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
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Abstract
To investigate the adaptive locomotion mechanism in animals, a split-belt treadmill has been used, which has two parallel belts to produce left-right symmetric and asymmetric environments for walking. Spinal cats walking on the treadmill have suggested the contribution of the spinal cord and associated peripheral nervous system to the adaptive locomotion. Physiological studies have shown that phase resetting of locomotor commands involving a phase shift occurs depending on the types of sensory nerves and stimulation timing, and that muscle activation patterns during walking are represented by a linear combination of a few numbers of basic temporal patterns despite the complexity of the activation patterns. Our working hypothesis was that resetting the onset timings of basic temporal patterns based on the sensory information from the leg, especially extension of hip flexors, contributes to adaptive locomotion on the split-belt treadmill. Our hypothesis was examined by conducting forward dynamic simulations using a neuromusculoskeletal model of a rat walking on a split-belt treadmill with its hindlimbs and by comparing the simulated motions with the measured motions of rats.
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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.