Literature DB >> 23430277

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

Andrej Bicanski1, Dimitri Ryczko, Jérémie Knuesel, Nalin Harischandra, Vanessa Charrier, Örjan Ekeberg, Jean-Marie Cabelguen, Auke Jan Ijspeert.   

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.

Mesh:

Year:  2013        PMID: 23430277     DOI: 10.1007/s00422-012-0543-1

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  6 in total

Review 1.  Anatomical and electrophysiological plasticity of locomotor networks following spinal transection in the salamander.

Authors:  Jean-Marie Cabelguen; Stéphanie Chevallier; Ianina Amontieva-Potapova; Céline Philippe
Journal:  Neurosci Bull       Date:  2013-07-28       Impact factor: 5.203

2.  Mechanisms of coordination in distributed neural circuits: decoding and integration of coordinating information.

Authors:  Carmen Smarandache-Wellmann; Cynthia Weller; Brian Mulloney
Journal:  J Neurosci       Date:  2014-01-15       Impact factor: 6.167

3.  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

4.  Development and Training of a Neural Controller for Hind Leg Walking in a Dog Robot.

Authors:  Alexander Hunt; Nicholas Szczecinski; Roger Quinn
Journal:  Front Neurorobot       Date:  2017-04-04       Impact factor: 2.650

5.  Sprawling Quadruped Robot Driven by Decentralized Control With Cross-Coupled Sensory Feedback Between Legs and Trunk.

Authors:  Shura Suzuki; Takeshi Kano; Auke J Ijspeert; Akio Ishiguro
Journal:  Front Neurorobot       Date:  2021-01-08       Impact factor: 2.650

6.  Stable phase-shift despite quasi-rhythmic movements: a CPG-driven dynamic model of active tactile exploration in an insect.

Authors:  Nalin Harischandra; André F Krause; Volker Dürr
Journal:  Front Comput Neurosci       Date:  2015-08-21       Impact factor: 2.380

  6 in total

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