Literature DB >> 32128970

Central pattern generating networks in insect locomotion.

Charalampos Mantziaris1, Till Bockemühl1, Ansgar Büschges1.   

Abstract

Central pattern generators (CPGs) are neural circuits that based on their connectivity can generate rhythmic and patterned output in the absence of rhythmic external inputs. This property makes CPGs crucial elements in the generation of many kinds of rhythmic motor behaviors in insects, such as flying, walking, swimming, or crawling. Arguably representing the most diverse group of animals, insects utilize at least one of these types of locomotion during one stage of their ontogenesis. Insects have been extensively used to study the neural basis of rhythmic motor behaviors, and particularly the structure and operation of CPGs involved in locomotion. Here, we review insect locomotion with regard to flying, walking, and crawling, and we discuss the contribution of central pattern generation to these three forms of locomotion. In each case, we compare and contrast the topology and structure of the CPGs, and we point out how these factors are involved in the generation of the respective motor pattern. We focus on the importance of sensory information for establishing a functional motor output and we indicate behavior-specific adaptations. Furthermore, we report on the mechanisms underlying coordination between different body parts. Last but not least, by reviewing the state-of-the-art knowledge concerning the role of CPGs in insect locomotion, we endeavor to create a common ground, upon which future research in the field of motor control in insects can build.
© 2020 The Authors. Developmental Neurobiology published by Wiley Periodicals, Inc.

Entities:  

Keywords:  central pattern generation; crawling; flying; insect; locomotion; motor control; walking

Mesh:

Year:  2020        PMID: 32128970     DOI: 10.1002/dneu.22738

Source DB:  PubMed          Journal:  Dev Neurobiol        ISSN: 1932-8451            Impact factor:   3.964


  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
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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.  Behavioral evidence for nested central pattern generator control of Drosophila grooming.

Authors:  Primoz Ravbar; Neil Zhang; Julie H Simpson
Journal:  Elife       Date:  2021-12-22       Impact factor: 8.140

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.  Hans-Joachim Pflüger: scientist, citizen, cosmopolitan.

Authors:  Carsten Duch; Ansgar Büschges
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2022-04-25       Impact factor: 2.389

6.  Thorax-Segment- and Leg-Segment-Specific Motor Control for Adaptive Behavior.

Authors:  Elzbieta Hammel; Charalampos Mantziaris; Joscha Schmitz; Ansgar Büschges; Matthias Gruhn
Journal:  Front Physiol       Date:  2022-05-04       Impact factor: 4.755

7.  A neuromuscular model of human locomotion combines spinal reflex circuits with voluntary movements.

Authors:  Rachid Ramadan; Hartmut Geyer; John Jeka; Gregor Schöner; Hendrik Reimann
Journal:  Sci Rep       Date:  2022-05-17       Impact factor: 4.996

8.  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

9.  Adaptive Interlimb Coordination Mechanism for Hexapod Locomotion Based on Active Load Sensing.

Authors:  Akira Fukuhara; Wataru Suda; Takeshi Kano; Ryo Kobayashi; Akio Ishiguro
Journal:  Front Neurorobot       Date:  2022-02-08       Impact factor: 2.650

10.  Localization of muscarinic acetylcholine receptor-dependent rhythm-generating modules in the Drosophila larval locomotor network.

Authors:  Julius Jonaitis; James MacLeod; Stefan R Pulver
Journal:  J Neurophysiol       Date:  2022-03-16       Impact factor: 2.974

  10 in total

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