ArticlePeerJ2018
Analytical CPG model driven by limb velocity input generates accurate temporal locomotor dynamics.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Bidirectional locomotion induces asymmetric limb adaptations.Journal of neurophysiology · 2025Article
- Precise limb-speed afference reveals rhythmogenic drive modality and declines with age.Research square · 2025Article
- Control signal dimensionality depends on limb dynamics.PloS one · 2025Article
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Authors and funding
3 authors.
Funding
Abstract
The ability of vertebrates to generate rhythm within their spinal neural networks is essential for walking, running, and other rhythmic behaviors. The central pattern generator (CPG) network responsible for these behaviors is well-characterized with experimental and theoretical studies, and it can be formulated as a nonlinear dynamical system. The underlying mechanism responsible for locomotor behavior can be expressed as the process of leaky integration with resetting states generating appropriate phases for changing body velocity. The low-dimensional input to the CPG model generates the bilateral pattern of swing and stance modulation for each limb and is consistent with the desired limb speed as the input command. To test the minimal configuration of required parameters for this model, we reduced the system of equations representing CPG for a single limb and provided the analytical solution with two complementary methods. The analytical and empirical cycle durations were similar (
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Registered trials
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