Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.

Feedback delays are a major challenge for any controlled process, and yet we are able to easily control limb movements with speed and grace. A popular hypothesis suggests that the brain largely mitigates the impact of feedback delays (∼50 ms) by regulating the limb intrinsic visco-elastic properties...

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Main Authors: Frédéric Crevecoeur, Stephen H Scott
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-10-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4191878?pdf=render
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spelling doaj-caca17274a9f467bac4b3e6ad7e3cb7d2020-11-25T01:46:01ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582014-10-011010e100386910.1371/journal.pcbi.1003869Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.Frédéric CrevecoeurStephen H ScottFeedback delays are a major challenge for any controlled process, and yet we are able to easily control limb movements with speed and grace. A popular hypothesis suggests that the brain largely mitigates the impact of feedback delays (∼50 ms) by regulating the limb intrinsic visco-elastic properties (or impedance) with muscle co-contraction, which generates forces proportional to changes in joint angle and velocity with zero delay. Although attractive, this hypothesis is often based on estimates of limb impedance that include neural feedback, and therefore describe the entire motor system. In addition, this approach does not systematically take into account that muscles exhibit high intrinsic impedance only for small perturbations (short-range impedance). As a consequence, it remains unclear how the nervous system handles large perturbations, as well as disturbances encountered during movement when short-range impedance cannot contribute. We address this issue by comparing feedback responses to load pulses applied to the elbow of human subjects with theoretical simulations. After validating the model parameters, we show that the ability of humans to generate fast and accurate corrective movements is compatible with a control strategy based on state estimation. We also highlight the merits of delay-uncompensated robust control, which can mitigate the impact of internal model errors, but at the cost of slowing feedback corrections. We speculate that the puzzling observation of presynaptic inhibition of peripheral afferents in the spinal cord at movement onset helps to counter the destabilizing transition from high muscle impedance during posture to low muscle impedance during movement.http://europepmc.org/articles/PMC4191878?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Frédéric Crevecoeur
Stephen H Scott
spellingShingle Frédéric Crevecoeur
Stephen H Scott
Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.
PLoS Computational Biology
author_facet Frédéric Crevecoeur
Stephen H Scott
author_sort Frédéric Crevecoeur
title Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.
title_short Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.
title_full Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.
title_fullStr Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.
title_full_unstemmed Beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.
title_sort beyond muscles stiffness: importance of state-estimation to account for very fast motor corrections.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2014-10-01
description Feedback delays are a major challenge for any controlled process, and yet we are able to easily control limb movements with speed and grace. A popular hypothesis suggests that the brain largely mitigates the impact of feedback delays (∼50 ms) by regulating the limb intrinsic visco-elastic properties (or impedance) with muscle co-contraction, which generates forces proportional to changes in joint angle and velocity with zero delay. Although attractive, this hypothesis is often based on estimates of limb impedance that include neural feedback, and therefore describe the entire motor system. In addition, this approach does not systematically take into account that muscles exhibit high intrinsic impedance only for small perturbations (short-range impedance). As a consequence, it remains unclear how the nervous system handles large perturbations, as well as disturbances encountered during movement when short-range impedance cannot contribute. We address this issue by comparing feedback responses to load pulses applied to the elbow of human subjects with theoretical simulations. After validating the model parameters, we show that the ability of humans to generate fast and accurate corrective movements is compatible with a control strategy based on state estimation. We also highlight the merits of delay-uncompensated robust control, which can mitigate the impact of internal model errors, but at the cost of slowing feedback corrections. We speculate that the puzzling observation of presynaptic inhibition of peripheral afferents in the spinal cord at movement onset helps to counter the destabilizing transition from high muscle impedance during posture to low muscle impedance during movement.
url http://europepmc.org/articles/PMC4191878?pdf=render
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