DocumentCode
2797018
Title
Embodiment guides motor and spinal circuit development in vertebrate embryo and fetus
Author
Yamada, Y. ; Kuniyoshi, Yasuo
Author_Institution
Grad. Sch. of Inf. Sci. & Tech., Univ. of Tokyo, Tokyo, Japan
fYear
2012
fDate
7-9 Nov. 2012
Firstpage
1
Lastpage
6
Abstract
We investigated whether motor and spinal circuit development in vertebrates can be accounted for by the properties underlying embodiment. We ran computer simulations of zebrafish embryo, canine and human fetus models with biologically plausible musculoskeletal bodies and spinal neural network, and quantitatively characterized their embodiments and movements by analyzing inter-muscle connectivities. In computer simulations in the human and canine fetus models, we found that development of the embodiment causes changes in movements and increases their complexity, corresponding to the same manner as mammalian motor development. Further, we showed that interaction with the environment as structured by the embodiment can drive the self-organization of the spinal circuit and trigger important developmental motor transitions, which engender coordinated side-to-side alternating movements in the zebrafish embryo model and left-right alternation of the legs in the human fetus model. Our results suggest that embodiment possesses a multitude of regularities that can guide early development.
Keywords
biology computing; neural nets; neurophysiology; zoology; biologically plausible musculoskeletal body; canine fetus model; computer simulation; developmental motor transition; embodiment; human fetus model; intermuscle connectivity; leg left-right alternation; mammalian motor development; motor circuit development; side-to-side alternating movement; spinal circuit development; spinal circuit self-organization; spinal neural network; vertebrate embryo; zebrafish embryo model; Correlation; Embryo; Fetus; Humans; Integrated circuit modeling; Muscles; Torso;
fLanguage
English
Publisher
ieee
Conference_Titel
Development and Learning and Epigenetic Robotics (ICDL), 2012 IEEE International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-4964-2
Electronic_ISBN
978-1-4673-4963-5
Type
conf
DOI
10.1109/DevLrn.2012.6400578
Filename
6400578
Link To Document