Literature DB >> 16049149

Computer simulation of stepping in the hind legs of the cat: an examination of mechanisms regulating the stance-to-swing transition.

Orjan Ekeberg1, Keir Pearson.   

Abstract

Physiological studies in walking cats have indicated that two sensory signals are involved in terminating stance in the hind legs: one related to unloading of the leg and the other to hip extension. To study the relative importance of these two signals, we developed a three-dimensional computer simulation of the cat hind legs in which the timing of the swing-to-stance transition was controlled by signals related to the force in ankle extensor muscles, the angle at the hip joint, or a combination of both. Even in the absence of direct coupling between the controllers for each leg, stable stepping was easily obtained using either a combination of ankle force and hip position signals or the ankle force signal alone. Stable walking did not occur when the hip position signal was used alone. Coupling the two controllers by mutual inhibition restored stability, but it did not restore the correct timing of stepping of the two hind legs. Small perturbations applied during the swing phase altered the movement of the contralateral leg in a manner that tended to maintain alternating stepping when the ankle force signal was included but tended to shift coordination away from alternating when the hip position signal was used alone. We conclude that coordination of stepping of the hind legs depends critically on load-sensitive signals from each leg and that mechanical linkages between the legs, mediated by these signals, play a significant role in establishing the alternating gait.

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Year:  2005        PMID: 16049149     DOI: 10.1152/jn.00065.2005

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  41 in total

1.  Afferent inputs to mid- and lower-lumbar spinal segments are necessary for stepping in spinal cats.

Authors:  Jonathan A Norton; Vivian K Mushahwar
Journal:  Ann N Y Acad Sci       Date:  2010-06       Impact factor: 5.691

2.  Force encoding in stick insect legs delineates a reference frame for motor control.

Authors:  Sasha N Zill; Josef Schmitz; Sumaiya Chaudhry; Ansgar Büschges
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

3.  A mathematical modeling study of inter-segmental coordination during stick insect walking.

Authors:  Silvia Daun-Gruhn
Journal:  J Comput Neurosci       Date:  2010-06-22       Impact factor: 1.621

4.  Joint kinetic response during unexpectedly reduced plantar flexor torque provided by a robotic ankle exoskeleton during walking.

Authors:  Pei-Chun Kao; Cara L Lewis; Daniel P Ferris
Journal:  J Biomech       Date:  2010-02-19       Impact factor: 2.712

5.  Tuning posture to body load: decreases in load produce discrete sensory signals in the legs of freely standing cockroaches.

Authors:  Bridget R Keller; Elizabeth R Duke; Ayman S Amer; Sasha N Zill
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2007-06-01       Impact factor: 1.836

Review 6.  Sensory control of normal movement and of movement aided by neural prostheses.

Authors:  Arthur Prochazka
Journal:  J Anat       Date:  2015-06-05       Impact factor: 2.610

7.  Validating the feedback control of intersegmental coordination by fluctuation analysis of disturbed walking.

Authors:  Tetsuro Funato; Shinya Aoi; Nozomi Tomita; Kazuo Tsuchiya
Journal:  Exp Brain Res       Date:  2015-02-06       Impact factor: 1.972

8.  The roles of ascending sensory signals and top-down central control in the entrainment of a locomotor CPG.

Authors:  Marcello G Codianni; Silvia Daun; Jonathan E Rubin
Journal:  Biol Cybern       Date:  2020-12-08       Impact factor: 2.086

9.  Force dynamics and synergist muscle activation in stick insects: the effects of using joint torques as mechanical stimuli.

Authors:  Sasha N Zill; Chris J Dallmann; Ansgar Büschges; Sumaiya Chaudhry; Josef Schmitz
Journal:  J Neurophysiol       Date:  2018-07-18       Impact factor: 2.714

10.  Neuromechanical simulation.

Authors:  Donald H Edwards
Journal:  Front Behav Neurosci       Date:  2010-07-14       Impact factor: 3.558

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