Literature DB >> 17482205

Walking in Aretaon asperrimus.

Thorsten Jeck1, Holk Cruse.   

Abstract

This article describes basic parameters characterizing walking of the stick insect Aretaon asperrimus to allow a comparative approach with other insects studied. As in many other animals, geometrical parameters such as step amplitude and leg extreme positions do not vary with walking velocity. However, the relation between swing duration and stance duration is quite constant, in contrast to most insects studied. Therefore, velocity profiles during swing vary with walking velocity whereas time course of leg trajectories and leg angle trajectories are independent of walking velocity. Nevertheless, A. asperrimus does not show a classical tripod gait, but performs a metachronal, or tetrapod, gait, showing phase values differing from 0.5 between ipsilateral neighbouring legs. As in Carausius morosus, the detailed shape of the swing trajectory may depend on the form of the substrate. Effects describing coordinating influences between legs have been found that prevent the start of a swing as long as the posterior leg performs a swing. Further, the treading on tarsus reflex can be observed in Aretaon. No hint to the existence of a targeting influence has been found. Control of rearward walking is easiest interpreted by maintaining the basic rules but an anterior-posterior reversal of the information flow.

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Year:  2007        PMID: 17482205     DOI: 10.1016/j.jinsphys.2007.03.010

Source DB:  PubMed          Journal:  J Insect Physiol        ISSN: 0022-1910            Impact factor:   2.354


  3 in total

1.  The role of leg touchdown for the control of locomotor activity in the walking stick insect.

Authors:  Joscha Schmitz; Matthias Gruhn; Ansgar Büschges
Journal:  J Neurophysiol       Date:  2015-02-04       Impact factor: 2.714

Review 2.  Walknet, a bio-inspired controller for hexapod walking.

Authors:  Malte Schilling; Thierry Hoinville; Josef Schmitz; Holk Cruse
Journal:  Biol Cybern       Date:  2013-07-04       Impact factor: 2.086

3.  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

  3 in total

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