Variability in locomotor dynamics reveals the critical role of feedback in task control
Animals vary considerably in size, shape, and physiological features across individuals, but yet achieve remarkably similar behavioral performances. We examined how animals compensate for morphophysiological variation by measuring the system dynamics of individual knifefish (Eigenmannia virescens) i...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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eLife Sciences Publications Ltd
2020-01-01
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Series: | eLife |
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Online Access: | https://elifesciences.org/articles/51219 |
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author | Ismail Uyanik Shahin Sefati Sarah A Stamper Kyoung-A Cho M Mert Ankarali Eric S Fortune Noah J Cowan |
author_facet | Ismail Uyanik Shahin Sefati Sarah A Stamper Kyoung-A Cho M Mert Ankarali Eric S Fortune Noah J Cowan |
author_sort | Ismail Uyanik |
collection | DOAJ |
description | Animals vary considerably in size, shape, and physiological features across individuals, but yet achieve remarkably similar behavioral performances. We examined how animals compensate for morphophysiological variation by measuring the system dynamics of individual knifefish (Eigenmannia virescens) in a refuge tracking task. Kinematic measurements of Eigenmannia were used to generate individualized estimates of each fish’s locomotor plant and controller, revealing substantial variability between fish. To test the impact of this variability on behavioral performance, these models were used to perform simulated ‘brain transplants’—computationally swapping controllers and plants between individuals. We found that simulated closed-loop performance was robust to mismatch between plant and controller. This suggests that animals rely on feedback rather than precisely tuned neural controllers to compensate for morphophysiological variability. |
first_indexed | 2024-12-10T05:04:01Z |
format | Article |
id | doaj.art-5b026ce601f74e689647c8cb98aa7d91 |
institution | Directory Open Access Journal |
issn | 2050-084X |
language | English |
last_indexed | 2024-12-10T05:04:01Z |
publishDate | 2020-01-01 |
publisher | eLife Sciences Publications Ltd |
record_format | Article |
series | eLife |
spelling | doaj.art-5b026ce601f74e689647c8cb98aa7d912022-12-22T02:01:19ZengeLife Sciences Publications LtdeLife2050-084X2020-01-01910.7554/eLife.51219Variability in locomotor dynamics reveals the critical role of feedback in task controlIsmail Uyanik0https://orcid.org/0000-0002-3535-5616Shahin Sefati1Sarah A Stamper2Kyoung-A Cho3M Mert Ankarali4Eric S Fortune5https://orcid.org/0000-0001-6447-5425Noah J Cowan6https://orcid.org/0000-0003-2502-3770Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey; Laboratory of Computational Sensing and Robotics, Johns Hopkins University, Baltimore, United States; Department of Biological Sciences, New Jersey Institute of Technology, Newark, United StatesDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, United StatesDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, United StatesDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, United StatesDepartment of Electrical and Electronics Engineering, Middle East Technical University, Ankara, TurkeyDepartment of Biological Sciences, New Jersey Institute of Technology, Newark, United StatesLaboratory of Computational Sensing and Robotics, Johns Hopkins University, Baltimore, United States; Department of Mechanical Engineering, Johns Hopkins University, Baltimore, United StatesAnimals vary considerably in size, shape, and physiological features across individuals, but yet achieve remarkably similar behavioral performances. We examined how animals compensate for morphophysiological variation by measuring the system dynamics of individual knifefish (Eigenmannia virescens) in a refuge tracking task. Kinematic measurements of Eigenmannia were used to generate individualized estimates of each fish’s locomotor plant and controller, revealing substantial variability between fish. To test the impact of this variability on behavioral performance, these models were used to perform simulated ‘brain transplants’—computationally swapping controllers and plants between individuals. We found that simulated closed-loop performance was robust to mismatch between plant and controller. This suggests that animals rely on feedback rather than precisely tuned neural controllers to compensate for morphophysiological variability.https://elifesciences.org/articles/51219sensorimotor controllocomotor dynamicssensory feedbackEigenmannia virescens |
spellingShingle | Ismail Uyanik Shahin Sefati Sarah A Stamper Kyoung-A Cho M Mert Ankarali Eric S Fortune Noah J Cowan Variability in locomotor dynamics reveals the critical role of feedback in task control eLife sensorimotor control locomotor dynamics sensory feedback Eigenmannia virescens |
title | Variability in locomotor dynamics reveals the critical role of feedback in task control |
title_full | Variability in locomotor dynamics reveals the critical role of feedback in task control |
title_fullStr | Variability in locomotor dynamics reveals the critical role of feedback in task control |
title_full_unstemmed | Variability in locomotor dynamics reveals the critical role of feedback in task control |
title_short | Variability in locomotor dynamics reveals the critical role of feedback in task control |
title_sort | variability in locomotor dynamics reveals the critical role of feedback in task control |
topic | sensorimotor control locomotor dynamics sensory feedback Eigenmannia virescens |
url | https://elifesciences.org/articles/51219 |
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