High-level motor planning allows flexible walking at different gait patterns in a neuromechanical model
Humans can freely adopt gait parameters like walking speed, step length, or cadence on the fly when walking. Planned movement that can be updated online to account for changes in the environment rather than having to rely on habitual, reflexive control that is adapted over long timescales. Here we p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-12-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2022.959357/full |
| _version_ | 1828118638991769600 |
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| author | Rachid Ramadan Fabian Meischein Hendrik Reimann |
| author_facet | Rachid Ramadan Fabian Meischein Hendrik Reimann |
| author_sort | Rachid Ramadan |
| collection | DOAJ |
| description | Humans can freely adopt gait parameters like walking speed, step length, or cadence on the fly when walking. Planned movement that can be updated online to account for changes in the environment rather than having to rely on habitual, reflexive control that is adapted over long timescales. Here we present a neuromechanical model that accounts for this flexibility by combining movement goals and motor plans on a kinematic task level with low-level spinal feedback loops. We show that the model can walk at a wide range of different gait patterns by choosing a small number of high-level control parameters representing a movement goal. A larger number of parameters governing the low-level reflex loops in the spinal cord, on the other hand, remain fixed. We also show that the model can generalize the learned behavior by recombining the high-level control parameters and walk with gait patterns that it had not encountered before. Furthermore, the model can transition between different gaits without the loss of balance by switching to a new set of control parameters in real time. |
| first_indexed | 2024-04-11T13:34:32Z |
| format | Article |
| id | doaj.art-9dbd4ba3700142c2949474625fcbecb0 |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-04-11T13:34:32Z |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-9dbd4ba3700142c2949474625fcbecb02022-12-22T04:21:35ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852022-12-011010.3389/fbioe.2022.959357959357High-level motor planning allows flexible walking at different gait patterns in a neuromechanical modelRachid Ramadan0Fabian Meischein1Hendrik Reimann2Institute for Neural Computation, Ruhr University Bochum, Bochum, GermanyInstitute for Neural Computation, Ruhr University Bochum, Bochum, GermanyDepartment of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United StatesHumans can freely adopt gait parameters like walking speed, step length, or cadence on the fly when walking. Planned movement that can be updated online to account for changes in the environment rather than having to rely on habitual, reflexive control that is adapted over long timescales. Here we present a neuromechanical model that accounts for this flexibility by combining movement goals and motor plans on a kinematic task level with low-level spinal feedback loops. We show that the model can walk at a wide range of different gait patterns by choosing a small number of high-level control parameters representing a movement goal. A larger number of parameters governing the low-level reflex loops in the spinal cord, on the other hand, remain fixed. We also show that the model can generalize the learned behavior by recombining the high-level control parameters and walk with gait patterns that it had not encountered before. Furthermore, the model can transition between different gaits without the loss of balance by switching to a new set of control parameters in real time.https://www.frontiersin.org/articles/10.3389/fbioe.2022.959357/fullneuromuscular modelingflexibilitymotor controllocomotionsupraspinal controlreflexes |
| spellingShingle | Rachid Ramadan Fabian Meischein Hendrik Reimann High-level motor planning allows flexible walking at different gait patterns in a neuromechanical model Frontiers in Bioengineering and Biotechnology neuromuscular modeling flexibility motor control locomotion supraspinal control reflexes |
| title | High-level motor planning allows flexible walking at different gait patterns in a neuromechanical model |
| title_full | High-level motor planning allows flexible walking at different gait patterns in a neuromechanical model |
| title_fullStr | High-level motor planning allows flexible walking at different gait patterns in a neuromechanical model |
| title_full_unstemmed | High-level motor planning allows flexible walking at different gait patterns in a neuromechanical model |
| title_short | High-level motor planning allows flexible walking at different gait patterns in a neuromechanical model |
| title_sort | high level motor planning allows flexible walking at different gait patterns in a neuromechanical model |
| topic | neuromuscular modeling flexibility motor control locomotion supraspinal control reflexes |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2022.959357/full |
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