DocumentCode
1767809
Title
Modeling the undulatory locomotion of C. elegans based on the proprioceptive mechanism
Author
Xin Deng ; Qinyuan Ren ; Ying Du ; Guoyin Wang ; Rongkun Wu ; Xiang Si
Author_Institution
Chongqing Key Lab. of Comput. Intell., Chongqing Univ. of Posts & Telecommun., Chongqing, China
fYear
2014
fDate
1-4 June 2014
Firstpage
1560
Lastpage
1565
Abstract
This paper provides an undulatory locomotion model of C. elegans to implement the chemotaxis behaviors based on the proprioceptive mechanism. The nervous system of C. elegans is modeled by a dynamic neural network (DNN) that involves two parts: head DNN and motor neurons. The body of C. elegans is represented as a multi-joint rigid link model with 11 links. The undulatory locomotion behavior is achieved by using the DNN to control the lengths of muscles on ventral and dorsal sides, and then using the muscle lengths to control the angles between two consecutive links. The propagation of undulatory wave is achieved by using proprioceptive mechanism, for which the cooperation between muscles and motor neurons is needed. Owing to the learning capability of DNN, a set of nonlinear functions that are designed to represent the chemotaxis behaviors of C. elegans are learned by the head DNN. The testing results show good performance of the locomotion model for the chemotaxis behaviors of finding food and avoiding toxin, as well as slight and Ω turns.
Keywords
biomechanics; cell motility; mechanoception; microorganisms; muscle; neural nets; nonlinear functions; C. elegans body representation; C. elegans nervous system modeling; C. elegans undulatory locomotion modeling; DNN learning capability; chemotaxis behaviors; consecutive link angle control; dorsal muscle length control; dynamic neural network; food finding behaviors; head DNN; motor neurons; multijoint rigid link model; muscle-motor neuron cooperation; nonlinear function design; proprioceptive mechanism; toxin avoiding behaviors; turning behaviors; undulatory locomotion behavior; undulatory wave propagation; ventral muscle length control; Ash; Muscles; Neurons; Shape; Testing; Wires;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location
Istanbul
Type
conf
DOI
10.1109/ISIE.2014.6864847
Filename
6864847
Link To Document