TY - JOUR
T1 - Geometrical structure of the neuronal network of Caenorhabditis elegans
AU - Morita, Satoru
AU - Oshio, Ken ichi
AU - Osana, Yuko
AU - Funabashi, Yasuhiro
AU - Oka, Kotaro
AU - Kawamura, Kiyoshi
N1 - Funding Information:
We would like to thank H. Kagawa, R. Hosono and S. Mitani for their lectures, which motivated this research. We also thank H. Takano, S. Gomi, Y. Iwasaki, K. Omata and E. Akiyama for fruitful discussion and helpful comments. This research is supported by Japan Society for Promotion of Science under the contract number RFTF96I00102.
PY - 2001/9/15
Y1 - 2001/9/15
N2 - The neuronal network of the soil nematode Caenorhabditis elegans (C. elegans), which is a good prototype for biological studies, is investigated. Here, the neuronal network is simplified as a graph. We use three indicators to characterize the graph; vertex degree, generalized eccentricity (GE), and complete subgraphs. The graph has the central part and the strong clustering structure. We present a simple model, which shows that the neuronal network has a high-dimensional geometrical structure.
AB - The neuronal network of the soil nematode Caenorhabditis elegans (C. elegans), which is a good prototype for biological studies, is investigated. Here, the neuronal network is simplified as a graph. We use three indicators to characterize the graph; vertex degree, generalized eccentricity (GE), and complete subgraphs. The graph has the central part and the strong clustering structure. We present a simple model, which shows that the neuronal network has a high-dimensional geometrical structure.
KW - C. elegans
KW - Geometrical structure
KW - Graph theory
KW - Neuronal network
KW - Small world
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U2 - 10.1016/S0378-4371(01)00266-7
DO - 10.1016/S0378-4371(01)00266-7
M3 - Article
AN - SCOPUS:0035884790
SN - 0378-4371
VL - 298
SP - 553
EP - 561
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
IS - 3-4
ER -