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Biological Cybernetics

, Volume 107, Issue 5, pp 545–564 | Cite as

Decoding the mechanisms of gait generation in salamanders by combining neurobiology, modeling and robotics

  • Andrej BicanskiEmail author
  • Dimitri Ryczko
  • Jérémie Knuesel
  • Nalin Harischandra
  • Vanessa Charrier
  • Örjan Ekeberg
  • Jean-Marie Cabelguen
  • Auke Jan Ijspeert
Review

Abstract

Vertebrate animals exhibit impressive locomotor skills. These locomotor skills are due to the complex interactions between the environment, the musculo-skeletal system and the central nervous system, in particular the spinal locomotor circuits. We are interested in decoding these interactions in the salamander, a key animal from an evolutionary point of view. It exhibits both swimming and stepping gaits and is faced with the problem of producing efficient propulsive forces using the same musculo-skeletal system in two environments with significant physical differences in density, viscosity and gravitational load. Yet its nervous system remains comparatively simple. Our approach is based on a combination of neurophysiological experiments, numerical modeling at different levels of abstraction, and robotic validation using an amphibious salamander-like robot. This article reviews the current state of our knowledge on salamander locomotion control, and presents how our approach has allowed us to obtain a first conceptual model of the salamander spinal locomotor networks. The model suggests that the salamander locomotor circuit can be seen as a lamprey-like circuit controlling axial movements of the trunk and tail, extended by specialized oscillatory centers controlling limb movements. The interplay between the two types of circuits determines the mode of locomotion under the influence of sensory feedback and descending drive, with stepping gaits at low drive, and swimming at high drive.

Keywords

Salamander Locomotion Oscillators Modeling Neurobiology Robotics 

Notes

Acknowledgments

A.B. receives financial supported from the Swiss initiative in systems biology: SystemsX.ch. D. R. receives salary support from the Groupe de Recherche sur le Système Nerveux Central (GRSNC) and the Fonds de la Recherche en Santé du Québec (FRSQ). N.H. acknowledges funding by the Swedish International Development Cooperation Agency. J.K., V.C., Ö.E., A.J.I. and J.-M.C. acknowledge support from the European Community (LAMPETRA Grant: FP7-ICT-2007-1-216100). J.-M.C. further receives support from the Fondation pour la Recherche Médicale (DBC 20101021008). The assistance of H. Didier and S. Lamarque in some experiments is gratefully acknowledged. The authors declare that they have no conflict of interest.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Andrej Bicanski
    • 1
    Email author
  • Dimitri Ryczko
    • 2
  • Jérémie Knuesel
    • 1
  • Nalin Harischandra
    • 3
    • 4
  • Vanessa Charrier
    • 5
  • Örjan Ekeberg
    • 6
  • Jean-Marie Cabelguen
    • 5
  • Auke Jan Ijspeert
    • 1
  1. 1.Biorobotics Laboratory, School of EngineeringÉcole Polytechnique Fédérale de LausanneLausanneSwitzerland
  2. 2.Groupe de Recherche sur le Système Nerveux Central, Département de PhysiologieUniversité de MontréalMontréalCanada
  3. 3.Department of Computational BiologyKTH Royal Institute of Technology, School of Computer Science and EngineeringStockholmSweden
  4. 4.Department of Biological Cybernetics, Faculty of BiologyUniversity of BielefeldBielefeldGermany
  5. 5.INSERM U862, Neurocentre Magendie, Motor System Diseases GroupUniversité BordeauxBordeaux CedexFrance
  6. 6.Department of Computational BiologyKTH Royal Institute of Technology, School of Computer Science and CommunicationStockholmSweden

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