Literature DB >> 32339162

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

Malte Schilling1, Holk Cruse1,2.   

Abstract

Controlling the six legs of an insect walking in an unpredictable environment is a challenging task, as many degrees of freedom have to be coordinated. Solutions proposed to deal with this task are usually based on the highly influential concept that (sensory-modulated) central pattern generators (CPG) are required to control the rhythmic movements of walking legs. Here, we investigate a different view. To this end, we introduce a sensor based controller operating on artificial neurons, being applied to a (simulated) insectoid robot required to exploit the "loop through the world" allowing for simplification of neural computation. We show that such a decentralized solution leads to adaptive behavior when facing uncertain environments which we demonstrate for a broad range of behaviors never dealt with in a single system by earlier approaches. This includes the ability to produce footfall patterns such as velocity dependent "tripod", "tetrapod", "pentapod" as well as various stable intermediate patterns as observed in stick insects and in Drosophila. These patterns are found to be stable against disturbances and when starting from various leg configurations. Our neuronal architecture easily allows for starting or interrupting a walk, all being difficult for CPG controlled solutions. Furthermore, negotiation of curves and walking on a treadmill with various treatments of individual legs is possible as well as backward walking and performing short steps. This approach can as well account for the neurophysiological results usually interpreted to support the idea that CPGs form the basis of walking, although our approach is not relying on explicit CPG-like structures. Application of CPGs may however be required for very fast walking. Our neuronal structure allows to pinpoint specific neurons known from various insect studies. Interestingly, specific common properties observed in both insects and crustaceans suggest a significance of our controller beyond the realm of insects.

Entities:  

Mesh:

Year:  2020        PMID: 32339162      PMCID: PMC7205325          DOI: 10.1371/journal.pcbi.1007804

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  104 in total

1.  Multi-joint coordination during walking and foothold searching in the Blaberus cockroach. I. Kinematics and electromyograms.

Authors:  A K Tryba; R E Ritzmann
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2.  Tight turns in stick insects.

Authors:  H Cruse; I Ehmanns; S Stübner; Josef Schmitz
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2009-01-10       Impact factor: 1.836

Review 3.  Are bigger brains better?

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Journal:  Curr Biol       Date:  2009-11-17       Impact factor: 10.834

4.  Thoracic leg motoneurons in the isolated CNS of adult Manduca produce patterned activity in response to pilocarpine, which is distinct from that produced in larvae.

Authors:  Rebecca M Johnston; Richard B Levine
Journal:  Invert Neurosci       Date:  2002-08-03

5.  Inter-leg coordination in the control of walking speed in Drosophila.

Authors:  Anne Wosnitza; Till Bockemühl; Michael Dübbert; Henrike Scholz; Ansgar Büschges
Journal:  J Exp Biol       Date:  2012-10-04       Impact factor: 3.312

6.  Optimal multiguidance integration in insect navigation.

Authors:  Thierry Hoinville; Rüdiger Wehner
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-26       Impact factor: 11.205

7.  Mechanics of a rapid running insect: two-, four- and six-legged locomotion.

Authors:  R J Full; M S Tu
Journal:  J Exp Biol       Date:  1991-03       Impact factor: 3.312

8.  A hexapod walker using a heterarchical architecture for action selection.

Authors:  Malte Schilling; Jan Paskarbeit; Thierry Hoinville; Arne Hüffmeier; Axel Schneider; Josef Schmitz; Holk Cruse
Journal:  Front Comput Neurosci       Date:  2013-09-17       Impact factor: 2.380

9.  Presynaptic inhibition of spinal sensory feedback ensures smooth movement.

Authors:  Andrew J P Fink; Katherine R Croce; Z Josh Huang; L F Abbott; Thomas M Jessell; Eiman Azim
Journal:  Nature       Date:  2014-05-01       Impact factor: 49.962

10.  Insects use two distinct classes of steps during unrestrained locomotion.

Authors:  Leslie M Theunissen; Volker Dürr
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

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  10 in total

1.  The roles of ascending sensory signals and top-down central control in the entrainment of a locomotor CPG.

Authors:  Marcello G Codianni; Silvia Daun; Jonathan E Rubin
Journal:  Biol Cybern       Date:  2020-12-08       Impact factor: 2.086

2.  NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster.

Authors:  Shravan Tata Ramalingasetty; Pembe Gizem Özdil; Victor Lobato-Rios; Jonathan Arreguit; Auke Jan Ijspeert; Pavan Ramdya
Journal:  Nat Methods       Date:  2022-05-11       Impact factor: 28.547

3.  Tardigrades exhibit robust interlimb coordination across walking speeds and terrains.

Authors:  Jasmine A Nirody; Lisset A Duran; Deborah Johnston; Daniel J Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-31       Impact factor: 11.205

4.  Existence of a Long-Range Caudo-Rostral Sensory Influence in Terrestrial Locomotion.

Authors:  Martyna Grabowska; Tibor I Toth; Ansgar Büschges; Silvia Daun
Journal:  J Neurosci       Date:  2022-05-11       Impact factor: 6.709

5.  A leg to stand on: computational models of proprioception.

Authors:  Chris J Dallmann; Pierre Karashchuk; Bingni W Brunton; John C Tuthill
Journal:  Curr Opin Physiol       Date:  2021-03-19

6.  Preference and effect of gustatory sense on sugar-feeding of fire ants.

Authors:  Waqar Jaleel; Lihua Lyu; Qunchen Li; Qingxing Shi
Journal:  PeerJ       Date:  2021-08-11       Impact factor: 2.984

Review 7.  Fate of Duplicated Neural Structures.

Authors:  Luís F Seoane
Journal:  Entropy (Basel)       Date:  2020-08-25       Impact factor: 2.524

8.  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

9.  Distributed control of motor circuits for backward walking in Drosophila.

Authors:  Kai Feng; Rajyashree Sen; Ryo Minegishi; Michael Dübbert; Till Bockemühl; Ansgar Büschges; Barry J Dickson
Journal:  Nat Commun       Date:  2020-12-02       Impact factor: 14.919

10.  NeuroVis: Real-Time Neural Information Measurement and Visualization of Embodied Neural Systems.

Authors:  Arthicha Srisuchinnawong; Jettanan Homchanthanakul; Poramate Manoonpong
Journal:  Front Neural Circuits       Date:  2021-12-27       Impact factor: 3.492

  10 in total

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