Non-linear stimulus-response behavior of the human stance control system is predicted by optimization of a system with sensory and motor noise
Identifieur interne : 003679 ( Main/Merge ); précédent : 003678; suivant : 003680Non-linear stimulus-response behavior of the human stance control system is predicted by optimization of a system with sensory and motor noise
Auteurs : Herman Van Der Kooij [Pays-Bas] ; Robert J. Peterka [États-Unis]Source :
- Journal of Computational Neuroscience [ 0929-5313 ] ; 2010.
Abstract
We developed a theory of human stance control that predicted (1) how subjects re-weight their utilization of proprioceptive and graviceptive orientation information in experiments where eyes closed stance was perturbed by surface-tilt stimuli with different amplitudes, (2) the experimentally observed increase in body sway variability (i.e. the “remnant” body sway that could not be attributed to the stimulus) with increasing surface-tilt amplitude, (3) neural controller feedback gains that determine the amount of corrective torque generated in relation to sensory cues signaling body orientation, and (4) the magnitude and structure of spontaneous body sway. Responses to surface-tilt perturbations with different amplitudes were interpreted using a feedback control model to determine control parameters and changes in these parameters with stimulus amplitude. Different combinations of internal sensory and/or motor noise sources were added to the model to identify the properties of noise sources that were able to account for the experimental remnant sway characteristics. Various behavioral criteria were investigated to determine if optimization of these criteria could predict the identified model parameters and amplitude-dependent parameter changes. Robust findings were that remnant sway characteristics were best predicted by models that included both sensory and motor noise, the graviceptive noise magnitude was about ten times larger than the proprioceptive noise, and noise sources with signal-dependent properties provided better explanations of remnant sway. Overall results indicate that humans dynamically weight sensory system contributions to stance control and tune their corrective responses to minimize the energetic effects of sensory noise and external stimuli.
Url:
DOI: 10.1007/s10827-010-0291-y
PubMed: 21161357
PubMed Central: 3108015
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Non-linear stimulus-response behavior of the human stance control system is predicted by optimization of a system with sensory and motor noise</title><author><name sortKey="Van Der Kooij, Herman" sort="Van Der Kooij, Herman" uniqKey="Van Der Kooij H" first="Herman" last="Van Der Kooij">Herman Van Der Kooij</name><affiliation wicri:level="4"><nlm:aff id="Aff1">Department of Biomechanical Engineering, University of Twente, 7500 AE Enschede, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Biomechanical Engineering, University of Twente, 7500 AE Enschede</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff2">Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Department of Biomechanical Engineering, Delft University of Technology, Delft</wicri:regionArea><wicri:noRegion>Delft</wicri:noRegion></affiliation></author><author><name sortKey="Peterka, Robert J" sort="Peterka, Robert J" uniqKey="Peterka R" first="Robert J." last="Peterka">Robert J. 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Peterka</name><affiliation wicri:level="2"><nlm:aff id="Aff3">Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Oregon</region></placeName><wicri:cityArea>Department of Biomedical Engineering, Oregon Health & Science University, Portland</wicri:cityArea></affiliation></author></analytic><series><title level="j">Journal of Computational Neuroscience</title><idno type="ISSN">0929-5313</idno><idno type="eISSN">1573-6873</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>We developed a theory of human stance control that predicted (1) how subjects re-weight their utilization of proprioceptive and graviceptive orientation information in experiments where eyes closed stance was perturbed by surface-tilt stimuli with different amplitudes, (2) the experimentally observed increase in body sway variability (i.e. the “remnant” body sway that could not be attributed to the stimulus) with increasing surface-tilt amplitude, (3) neural controller feedback gains that determine the amount of corrective torque generated in relation to sensory cues signaling body orientation, and (4) the magnitude and structure of spontaneous body sway. Responses to surface-tilt perturbations with different amplitudes were interpreted using a feedback control model to determine control parameters and changes in these parameters with stimulus amplitude. Different combinations of internal sensory and/or motor noise sources were added to the model to identify the properties of noise sources that were able to account for the experimental remnant sway characteristics. Various behavioral criteria were investigated to determine if optimization of these criteria could predict the identified model parameters and amplitude-dependent parameter changes. Robust findings were that remnant sway characteristics were best predicted by models that included both sensory and motor noise, the graviceptive noise magnitude was about ten times larger than the proprioceptive noise, and noise sources with signal-dependent properties provided better explanations of remnant sway. Overall results indicate that humans dynamically weight sensory system contributions to stance control and tune their corrective responses to minimize the energetic effects of sensory noise and external stimuli.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Albert, R" uniqKey="Albert R">R Albert</name></author><author><name sortKey="Barabasi, Al" uniqKey="Barabasi A">AL Barabási</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Angelaki, De" uniqKey="Angelaki D">DE Angelaki</name></author><author><name sortKey="Mchenry, Mq" uniqKey="Mchenry M">MQ McHenry</name></author><author><name sortKey="Dickman, Jd" uniqKey="Dickman J">JD Dickman</name></author><author><name sortKey="Newlands, Sd" uniqKey="Newlands S">SD Newlands</name></author><author><name sortKey="Hess, Bj" uniqKey="Hess B">BJ Hess</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bendat, Js" 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Kooij</name></author><author><name sortKey="Jacobs, R" uniqKey="Jacobs R">R Jacobs</name></author><author><name sortKey="Koopman, B" uniqKey="Koopman B">B Koopman</name></author><author><name sortKey="Grootenboer, H" uniqKey="Grootenboer H">H Grootenboer</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kooij, H" uniqKey="Kooij H">H Kooij</name></author><author><name sortKey="Jacobs, R" uniqKey="Jacobs R">R Jacobs</name></author><author><name sortKey="Koopman, B" uniqKey="Koopman B">B Koopman</name></author><author><name sortKey="Helm, F" uniqKey="Helm F">F Helm</name></author></analytic></biblStruct></listBibl></div1></back></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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