Analysis of Neural Network of C.elegans by Converting into Bipartite Network

Authors:
Keiu Harada;Ikuo Suzuki;Masahito Yamamoto;Masashi Furukawa
Affiliations:
Hokkaido University, Japan;Hokkaido University, Japan;Hokkaido University, Japan;Hokkaido University, Japan
Venue:
International Journal of Artificial Life Research
Year:
2012

Citing 3
Cited 0

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Abstract

It is important to understand living systems, mimic them, and design them. A directed network can represent a neural signal flow that living systems have. To understand the network, the authors extract two types of community structure by converting directed network of C.elegans into bipartite network. The extracted community structure and its connections give some properties of communities. Namely, the neural network of C.elegans has 12 and 10 deeply correlated communities and many single size communities. Also, it has many small collecting communities and a few large repeating communities in itself.