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A neuromechanical model and kinematic analyses for Drosophila larval crawling based on physical measurements

Xiyang Sun, Yingtao Liu, Chang Liu, Koichi Mayumi, Kohzo Ito, Akinao Nose, View ORCID ProfileHiroshi Kohsaka
doi: https://doi.org/10.1101/2020.07.17.208611
Xiyang Sun
aDepartment of Complexity Science and Engineering, Graduate School of Frontier Science, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8561 Chiba, Japan
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Yingtao Liu
bDepartment of Physics, Graduate School of Science, the University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 133-0033 Tokyo, Japan
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Chang Liu
cDepartment of Advanced Materials Science, Graduate School of Frontier Science, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8561 Chiba, Japan
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Koichi Mayumi
cDepartment of Advanced Materials Science, Graduate School of Frontier Science, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8561 Chiba, Japan
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Kohzo Ito
cDepartment of Advanced Materials Science, Graduate School of Frontier Science, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8561 Chiba, Japan
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Akinao Nose
aDepartment of Complexity Science and Engineering, Graduate School of Frontier Science, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8561 Chiba, Japan
bDepartment of Physics, Graduate School of Science, the University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 133-0033 Tokyo, Japan
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Hiroshi Kohsaka
aDepartment of Complexity Science and Engineering, Graduate School of Frontier Science, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8561 Chiba, Japan
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  • ORCID record for Hiroshi Kohsaka
  • For correspondence: kohsaka@edu.k.u-tokyo.ac.jp
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Abstract

Animal locomotion requires dynamic interactions between neural circuits, muscles, and surrounding environments. In contrast to intensive studies on neural circuits, the neuromechanical basis for animal behaviour remains unclear due to the lack of information on the physical properties of animals. Here, taking Drosophila larvae as a model system, we proposed an integrated neuromechanical model based on physical measurements. The physical parameters were obtained by a stress-relaxation assay, and the neural circuit motif was extracted from a chain of excitatory and inhibitory interneurons, which was identified previously by connectomics. Based on the model, we systematically performed perturbation analyses on the parameters in the model to study their kinematic effects on locomotion performance. We found that modification of most of the parameters in the simulation could increase the speed of locomotion. Our physical measurement and modelling would provide a new framework for neural circuit studies and soft robot engineering.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted July 17, 2020.
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A neuromechanical model and kinematic analyses for Drosophila larval crawling based on physical measurements
Xiyang Sun, Yingtao Liu, Chang Liu, Koichi Mayumi, Kohzo Ito, Akinao Nose, Hiroshi Kohsaka
bioRxiv 2020.07.17.208611; doi: https://doi.org/10.1101/2020.07.17.208611
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A neuromechanical model and kinematic analyses for Drosophila larval crawling based on physical measurements
Xiyang Sun, Yingtao Liu, Chang Liu, Koichi Mayumi, Kohzo Ito, Akinao Nose, Hiroshi Kohsaka
bioRxiv 2020.07.17.208611; doi: https://doi.org/10.1101/2020.07.17.208611

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