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...

Full description

Bibliographic Details
Main Authors: Ismail Uyanik, Shahin Sefati, Sarah A Stamper, Kyoung-A Cho, M Mert Ankarali, Eric S Fortune, Noah J Cowan
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2020-01-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/51219
_version_ 1818028452857511936
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
work_keys_str_mv AT ismailuyanik variabilityinlocomotordynamicsrevealsthecriticalroleoffeedbackintaskcontrol
AT shahinsefati variabilityinlocomotordynamicsrevealsthecriticalroleoffeedbackintaskcontrol
AT sarahastamper variabilityinlocomotordynamicsrevealsthecriticalroleoffeedbackintaskcontrol
AT kyoungacho variabilityinlocomotordynamicsrevealsthecriticalroleoffeedbackintaskcontrol
AT mmertankarali variabilityinlocomotordynamicsrevealsthecriticalroleoffeedbackintaskcontrol
AT ericsfortune variabilityinlocomotordynamicsrevealsthecriticalroleoffeedbackintaskcontrol
AT noahjcowan variabilityinlocomotordynamicsrevealsthecriticalroleoffeedbackintaskcontrol