Haspel, G, Severi, KE, Fauci, LJ et al. (3 more authors) (2021) Resilience of neural networks for locomotion. The Journal of Physiology, 599 (16). pp. 3825-3840. ISSN 0022-3751
Abstract
Locomotion is an essential behavior for the survival of all animals. The neural circuitry underlying locomotion is therefore highly robust to a wide variety of perturbations, including injury and abrupt changes in the environment. On the short term, fault tolerance in neural networks allows locomotion to persist immediately after mild to moderate injury. On the longer term, in many invertebrates and vertebrates, neural reorganization including anatomical regeneration can restore locomotion after severe perturbations that initially caused paralysis. Despite decades of research, very little is known about the mechanisms underlying locomotor resilience at the level of the underlying neural circuits and coordination of central pattern generators (CPGs). Undulatory locomotion is an ideal behavior for exploring principles of circuit organization, neural control and resilience of locomotion, offering a number of unique advantages lending experimental accessibility and modeling tractability. In comparing three well-characterized undulatory swimmers, lampreys, larval zebrafish, and Caenorhabditis elegans, we find similarities in the manifestation of locomotor resilience. To advance our understanding, we propose a comparative approach, integrating experimental and modeling studies, which will allow the field to begin identifying shared and distinct solutions for overcoming perturbations to persist orchestrating this essential behavior.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. The Journal of Physiology © 2021 The Physiological Society. This is the peer reviewed version of the following article: Haspel, G, Severi, KE, Fauci, LJ et al. (3 more authors) (2021) Resilience of neural networks for locomotion. The Journal of Physiology, 599 (16). pp. 3825-3840. ISSN 0022-3751, which has been published in final form at https://doi.org/10.1113/JP279214. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. |
Keywords: | caenorhabditis elegans; computational neuroscience; injury; lamprey; locomotion; mathematical modeling; reticulospinal; sensorimotor control; zebrafish |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/J004057/1 EPSRC (Engineering and Physical Sciences Research Council) EP/S01540X/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jul 2021 09:35 |
Last Modified: | 19 Jul 2022 10:34 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1113/jp279214 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175925 |