ArticleFrontiers in bioengineering and biotechnology2022
Contribution of Afferent Feedback to Adaptive Hindlimb Walking in Cats: A Neuromusculoskeletal Modeling Study.
Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Reflex and functional responses to distal tibial/medial plantar nerve electrical stimulation in the treadmill-locomoting spinal cat.Journal of neurophysiology · 2026Article
- Article
- Mechanisms of adaptive interlimb coordination to sudden ground loss: a neuromusculoskeletal modeling study.bioRxiv : the preprint server for biology · 2025Article
- Acquisition of bipedal locomotion in a neuromusculoskeletal model with unilateral transtibial amputation.Frontiers in bioengineering and biotechnology · 2023Article
- Time-Varying Functional Connectivity of Rat Brain during Bipedal Walking on Unexpected Terrain.Cyborg and bionic systems (Washington, D.C.) · 2023Article
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
Mammalian locomotion is generated by central pattern generators (CPGs) in the spinal cord, which produce alternating flexor and extensor activities controlling the locomotor movements of each limb. Afferent feedback signals from the limbs are integrated by the CPGs to provide adaptive control of locomotion. Responses of CPG-generated neural activity to afferent feedback stimulation have been previously studied during fictive locomotion in immobilized cats. Yet, locomotion in awake, behaving animals involves dynamic interactions between central neuronal circuits, afferent feedback, musculoskeletal system, and environment. To study these complex interactions, we developed a model simulating interactions between a half-center CPG and the musculoskeletal system of a cat hindlimb. Then, we analyzed the role of afferent feedback in the locomotor adaptation from a dynamic viewpoint using the methods of dynamical systems theory and nullcline analysis. Our model reproduced limb movements during regular cat walking as well as adaptive changes of these movements when the foot steps into a hole. The model generates important insights into the mechanism for adaptive locomotion resulting from dynamic interactions between the CPG-based neural circuits, the musculoskeletal system, and the environment.
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Registered trials
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