Literature DB >> 8339107

The femur-tibia control system of stick insects--a model system for the study of the neural basis of joint control.

U Bässler1.   

Abstract

In a form of top-down analysis, the femur-tibia control system of stick insects is investigated. Open-loop experiments show that it is mainly velocity-sensitive with an extremely low velocity-threshold, that it possesses a very high gain and that it has only a very small phase reserve and thus works close to instability. The closed-loop system generates catalepsy. The system consists of a single sense organ with approximately 80 sense cells with known characteristics, a small number of interneurones (mainly non-spiking ones) and a small number of motor neurones. The characteristics of the whole system can quantitatively be attributed to the characteristics of its elements. The gain of the loop is state-dependent and the system is 'switched off' during active movements and replaced by a control system with different attributes. It is discussed that most of the characteristics of this system are, at least qualitatively, similar to joint control systems in other animals. Because the described system can be more easily investigated than other systems (especially in vertebrates) it can serve as a model against which more complicated joint control loops may be compared.

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Year:  1993        PMID: 8339107     DOI: 10.1016/0165-0173(93)90002-h

Source DB:  PubMed          Journal:  Brain Res Brain Res Rev


  20 in total

1.  Kinematics and modeling of leech crawling: evidence for an oscillatory behavior produced by propagating waves of excitation.

Authors:  T W Cacciatore; R Rozenshteyn; W B Kristan
Journal:  J Neurosci       Date:  2000-02-15       Impact factor: 6.167

2.  Cuticular receptor activation of postural motoneurons in the abdomen of the hermit crab, Pagurus pollicarus.

Authors:  W D Chapple; J L Krans
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-02-20       Impact factor: 1.836

3.  A system identification analysis of neural adaptation dynamics and nonlinear responses in the local reflex control of locust hind limbs.

Authors:  Oliver P Dewhirst; Natalia Angarita-Jaimes; David M Simpson; Robert Allen; Philip L Newland
Journal:  J Comput Neurosci       Date:  2012-06-23       Impact factor: 1.621

4.  Functional recovery following manipulation of muscles and sense organs in the stick insect leg.

Authors:  Ulrich Bässler; Harald Wolf; Wolfgang Stein
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2007-09-18       Impact factor: 1.836

5.  The interaction of positive and negative sensory feedback loops in dynamic regulation of a motor pattern.

Authors:  Jessica Ausborn; Harald Wolf; Wolfgang Stein
Journal:  J Comput Neurosci       Date:  2009-03-17       Impact factor: 1.621

6.  Control of stepping velocity in the stick insect Carausius morosus.

Authors:  Matthias Gruhn; Géraldine von Uckermann; Sandra Westmark; Anne Wosnitza; Ansgar Büschges; Anke Borgmann
Journal:  J Neurophysiol       Date:  2009-06-17       Impact factor: 2.714

7.  Motor pattern selection by combinatorial code of interneuronal pathways.

Authors:  Wolfgang Stein; Oliver Straub; Jessica Ausborn; Wolfgang Mader; Harald Wolf
Journal:  J Comput Neurosci       Date:  2008-04-19       Impact factor: 1.621

8.  Presynaptic calcium/calmodulin-dependent protein kinase II regulates habituation of a simple reflex in adult Drosophila.

Authors:  P Jin; L C Griffith; R K Murphey
Journal:  J Neurosci       Date:  1998-11-01       Impact factor: 6.167

9.  Distributed processing on the basis of parallel and antagonistic pathways simulation of the femur-tibia control system in the stick insect.

Authors:  A E Sauer; R B Driesang; A Büschges; U Bässler
Journal:  J Comput Neurosci       Date:  1996-09       Impact factor: 1.621

10.  Task-dependent modification of leg motor neuron synaptic input underlying changes in walking direction and walking speed.

Authors:  Philipp Rosenbaum; Josef Schmitz; Joachim Schmidt; Ansgar Büschges
Journal:  J Neurophysiol       Date:  2015-06-10       Impact factor: 2.714

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