Literature DB >> 12662760

Walknet-a biologically inspired network to control six-legged walking.

Holk Cruse1, Thomas Kindermann, Michael Schumm, Jeffrey Dean, Josef Schmitz.   

Abstract

To investigate walking we perform experimental studies on animals in parallel with software and hardware simulations of the control structures and the body to be controlled. Therefore, the primary goal of our simulation studies is not so much to develop a technical device, but to develop a system which can be used as a scientific tool to study insect walking. To this end, the animat should copy essential properties of the animals. In this review, we will first describe the basic behavioral properties of hexapod walking, as the are known from stick insects. Then we describe a simple neural network called Walknet which exemplifies these properties and also shows some interesting emergent properties. The latter arise mainly from the use of the physical properties to simplify explicit calculations. The model is simple too, because it uses only static neuronal units. Finally, we present some new behavioral results.

Year:  1998        PMID: 12662760     DOI: 10.1016/s0893-6080(98)00067-7

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  37 in total

1.  Mechanisms of stick insect locomotion in a gap-crossing paradigm.

Authors:  B Bläsing; H Cruse
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-01-20       Impact factor: 1.836

2.  Adaptive control for insect leg position: controller properties depend on substrate compliance.

Authors:  H Cruse; S Kühn; S Park; J Schmitz
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-09-16       Impact factor: 1.836

3.  Active tactile exploration for adaptive locomotion in the stick insect.

Authors:  Christoph Schütz; Volker Dürr
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-11-12       Impact factor: 6.237

4.  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

Review 5.  Nature as a model for technical sensors.

Authors:  H Bleckmann; H Schmitz; G von der Emde
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2004-10-14       Impact factor: 1.836

6.  Common motor mechanisms support body load in serially homologous legs of cockroaches in posture and walking.

Authors:  Laura A Quimby; Ayman S Amer; Sasha N Zill
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-12-16       Impact factor: 1.836

7.  A model of antennal wall-following and escape in the cockroach.

Authors:  T P Chapman; B Webb
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-06-08       Impact factor: 1.836

8.  Control of swing movement: influences of differently shaped substrate.

Authors:  Michael Schumm; Holk Cruse
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-07-08       Impact factor: 1.836

9.  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

10.  Predictive control of intersegmental tarsal movements in an insect.

Authors:  Alicia Costalago-Meruelo; David M Simpson; Sandor M Veres; Philip L Newland
Journal:  J Comput Neurosci       Date:  2017-04-22       Impact factor: 1.621

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