Neuron phase shift adaptive to time delay in locomotor control
Based on neurophysiological evidence, theoretical studies have shown that walking can be generated by mutual entrainment of oscillations of a central pattern generator (CPG) and a body. However, it has also been shown that the time delay in the sensorimotor loop destabilizes mutual entrainment, and...
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Veröffentlicht in: | Applied mathematical modelling 2009-02, Vol.33 (2), p.797-811 |
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description | Based on neurophysiological evidence, theoretical studies have shown that walking can be generated by mutual entrainment of oscillations of a central pattern generator (CPG) and a body. However, it has also been shown that the time delay in the sensorimotor loop destabilizes mutual entrainment, and results in the failure to walk. Recently, it has been reported that if (a) the neuron model used to construct the CPG is replaced by physiologically faithful neuron model (Bonhoeffer–Van der Pol type) and (b) the mechanical impedance of the body (muscle viscoelasticity) is controlled depending on the angle between two legs, the phase relationship between CPG activity and body motion could be flexibly locked according to the loop delay and, therefore, mutual entrainment can be stabilized. That is, locomotor control adaptive to the loop delay can emerge from the coupling between CPG and body. Here, we call this mechanism
flexible-phase locking. In this paper, we construct a system of coupled oscillators as a simplified model of a walking system to theoretically investigate the mechanism of
flexible-phase locking, and to analyze the simplified model. The analysis suggests that the following are required as the essential mechanism: (i) an asymptotically stable limit cycle of the coupling system of CPG and body and (ii) a sign difference between afferent and efferent coupling coefficients. |
doi_str_mv | 10.1016/j.apm.2007.12.011 |
format | Article |
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flexible-phase locking. In this paper, we construct a system of coupled oscillators as a simplified model of a walking system to theoretically investigate the mechanism of
flexible-phase locking, and to analyze the simplified model. The analysis suggests that the following are required as the essential mechanism: (i) an asymptotically stable limit cycle of the coupling system of CPG and body and (ii) a sign difference between afferent and efferent coupling coefficients.</description><identifier>ISSN: 0307-904X</identifier><identifier>DOI: 10.1016/j.apm.2007.12.011</identifier><identifier>CODEN: AMMODL</identifier><language>eng</language><publisher>Kidlington: Elsevier Inc</publisher><subject>Adaptability ; Adaptative systems ; Applied sciences ; Biological and medical sciences ; Bipedal-locomotion ; BVP equation ; Computer science; control theory; systems ; Control theory. Systems ; Emergence ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration ; Robotics ; Striated muscle. Tendons ; Time delay ; Vertebrates: nervous system and sense organs ; Vertebrates: osteoarticular system, musculoskeletal system</subject><ispartof>Applied mathematical modelling, 2009-02, Vol.33 (2), p.797-811</ispartof><rights>2007 Elsevier Inc.</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-8ea1fea11afee40e8c78581e4d4c95676b24057ade0ef062e5e607dd65bb36c13</citedby><cites>FETCH-LOGICAL-c463t-8ea1fea11afee40e8c78581e4d4c95676b24057ade0ef062e5e607dd65bb36c13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.apm.2007.12.011$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20875825$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Ohgane, Kunishige</creatorcontrib><creatorcontrib>Ei, Shin-Ichiro</creatorcontrib><creatorcontrib>Mahara, Hitoshi</creatorcontrib><title>Neuron phase shift adaptive to time delay in locomotor control</title><title>Applied mathematical modelling</title><description>Based on neurophysiological evidence, theoretical studies have shown that walking can be generated by mutual entrainment of oscillations of a central pattern generator (CPG) and a body. However, it has also been shown that the time delay in the sensorimotor loop destabilizes mutual entrainment, and results in the failure to walk. Recently, it has been reported that if (a) the neuron model used to construct the CPG is replaced by physiologically faithful neuron model (Bonhoeffer–Van der Pol type) and (b) the mechanical impedance of the body (muscle viscoelasticity) is controlled depending on the angle between two legs, the phase relationship between CPG activity and body motion could be flexibly locked according to the loop delay and, therefore, mutual entrainment can be stabilized. That is, locomotor control adaptive to the loop delay can emerge from the coupling between CPG and body. Here, we call this mechanism
flexible-phase locking. In this paper, we construct a system of coupled oscillators as a simplified model of a walking system to theoretically investigate the mechanism of
flexible-phase locking, and to analyze the simplified model. The analysis suggests that the following are required as the essential mechanism: (i) an asymptotically stable limit cycle of the coupling system of CPG and body and (ii) a sign difference between afferent and efferent coupling coefficients.</description><subject>Adaptability</subject><subject>Adaptative systems</subject><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Bipedal-locomotion</subject><subject>BVP equation</subject><subject>Computer science; control theory; systems</subject><subject>Control theory. Systems</subject><subject>Emergence</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration</subject><subject>Robotics</subject><subject>Striated muscle. 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Systems</topic><topic>Emergence</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration</topic><topic>Robotics</topic><topic>Striated muscle. Tendons</topic><topic>Time delay</topic><topic>Vertebrates: nervous system and sense organs</topic><topic>Vertebrates: osteoarticular system, musculoskeletal system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ohgane, Kunishige</creatorcontrib><creatorcontrib>Ei, Shin-Ichiro</creatorcontrib><creatorcontrib>Mahara, Hitoshi</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Applied mathematical modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ohgane, Kunishige</au><au>Ei, Shin-Ichiro</au><au>Mahara, Hitoshi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neuron phase shift adaptive to time delay in locomotor control</atitle><jtitle>Applied mathematical modelling</jtitle><date>2009-02-01</date><risdate>2009</risdate><volume>33</volume><issue>2</issue><spage>797</spage><epage>811</epage><pages>797-811</pages><issn>0307-904X</issn><coden>AMMODL</coden><abstract>Based on neurophysiological evidence, theoretical studies have shown that walking can be generated by mutual entrainment of oscillations of a central pattern generator (CPG) and a body. 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flexible-phase locking. In this paper, we construct a system of coupled oscillators as a simplified model of a walking system to theoretically investigate the mechanism of
flexible-phase locking, and to analyze the simplified model. The analysis suggests that the following are required as the essential mechanism: (i) an asymptotically stable limit cycle of the coupling system of CPG and body and (ii) a sign difference between afferent and efferent coupling coefficients.</abstract><cop>Kidlington</cop><pub>Elsevier Inc</pub><doi>10.1016/j.apm.2007.12.011</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adaptability Adaptative systems Applied sciences Biological and medical sciences Bipedal-locomotion BVP equation Computer science control theory systems Control theory. Systems Emergence Exact sciences and technology Fundamental and applied biological sciences. Psychology Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration Robotics Striated muscle. Tendons Time delay Vertebrates: nervous system and sense organs Vertebrates: osteoarticular system, musculoskeletal system |
title | Neuron phase shift adaptive to time delay in locomotor control |
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