Literature DB >> 16775206

Natural neural output that produces highly variable locomotory movements.

Scott L Hooper1, Christoph Guschlbauer, Géraldine von Uckermann, Ansgar Büschges.   

Abstract

We recorded fast extensor tibiae motor neuron activity during single-legged treadmill walking in the stick insect, Carausius morosus. We used this activity to stimulate the extensor muscle motor nerve, observed the resulting extensor muscle contractions under isotonic conditions, and quantified these contractions with a variety of measures. Extensor contractions induced in this manner were highly variable, with contraction measures having SDs of 12 to 51%, and ranges of 82 to 275%, when expressed as percentages of the means, an unexpectedly wide range for a locomotory pattern. Searches for correlations among the contraction measures showed that, in general, this high variability is not reduced by contraction measure covariation. Comparing responses (to identical input) across animals showed that extensor muscles from different animals generally significantly differed from one another. However, correlation analyses on these data suggested that these differences do not indicate that multiple extensor muscle subtypes exist. Extensor muscles instead appear to belong to a single class, albeit one with high animal to animal variability. These data thus provide another well-quantified example (along with Aplysia feeding) of a repetitive but highly variable motor pattern (in contrast to the high rhythmicity and stereotypy present in most other well-quantified repetitive motor patterns). We suggest this high variability could be an adaptive combination of locomotion, active sensing, and crypsis arising from the relatively low demand for locomotion in Carausius behavior, the highly fragmented environment the animal inhabits, and its need to avoid predatory attention.

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Year:  2006        PMID: 16775206     DOI: 10.1152/jn.00366.2006

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


  11 in total

1.  Joint torques in a freely walking insect reveal distinct functions of leg joints in propulsion and posture control.

Authors:  Chris J Dallmann; Volker Dürr; Josef Schmitz
Journal:  Proc Biol Sci       Date:  2016-01-27       Impact factor: 5.349

2.  Motor circuit-specific burst patterns drive different muscle and behavior patterns.

Authors:  Florian Diehl; Rachel S White; Wolfgang Stein; Michael P Nusbaum
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

3.  Motor neuronal activity varies least among individuals when it matters most for behavior.

Authors:  Miranda J Cullins; Kendrick M Shaw; Jeffrey P Gill; Hillel J Chiel
Journal:  J Neurophysiol       Date:  2014-11-19       Impact factor: 2.714

4.  Slow conductances could underlie intrinsic phase-maintaining properties of isolated lobster (Panulirus interruptus) pyloric neurons.

Authors:  Scott L Hooper; Einat Buchman; Adam L Weaver; Jeffrey B Thuma; Kevin H Hobbs
Journal:  J Neurosci       Date:  2009-02-11       Impact factor: 6.167

Review 5.  Noise in the nervous system.

Authors:  A Aldo Faisal; Luc P J Selen; Daniel M Wolpert
Journal:  Nat Rev Neurosci       Date:  2008-04       Impact factor: 34.870

6.  Decentralized control of insect walking: A simple neural network explains a wide range of behavioral and neurophysiological results.

Authors:  Malte Schilling; Holk Cruse
Journal:  PLoS Comput Biol       Date:  2020-04-27       Impact factor: 4.475

7.  Determining all parameters necessary to build Hill-type muscle models from experiments on single muscles.

Authors:  Marcus Blümel; Scott L Hooper; Christoph Guschlbauerc; William E White; Ansgar Büschges
Journal:  Biol Cybern       Date:  2012-11-07       Impact factor: 2.086

8.  Hill-type muscle model parameters determined from experiments on single muscles show large animal-to-animal variation.

Authors:  Marcus Blümel; Christoph Guschlbauer; Silvia Daun-Gruhn; Scott L Hooper; Ansgar Büschges
Journal:  Biol Cybern       Date:  2012-11-07       Impact factor: 2.086

9.  Control for multifunctionality: bioinspired control based on feeding in Aplysia californica.

Authors:  Victoria A Webster-Wood; Jeffrey P Gill; Peter J Thomas; Hillel J Chiel
Journal:  Biol Cybern       Date:  2020-12-10       Impact factor: 2.086

10.  Relating neuronal to behavioral performance: variability of optomotor responses in the blowfly.

Authors:  Ronny Rosner; Anne-Kathrin Warzecha
Journal:  PLoS One       Date:  2011-10-31       Impact factor: 3.240

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