Geometrical structure of the neuronal network of Caenorhabditis elegans

Satoru Morita, Ken-ichi Oshio, Yuko Osana, Yasuhiro Funabashi, Kotaro Oka and Kiyoshi Kawamura

Physica A: Statistical Mechanics and its Applications, 2001, vol. 298, issue 3, 553-561

Abstract: 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.

Keywords: Neuronal network; C.elegans; Graph theory; Geometrical structure; Small world (search for similar items in EconPapers)
Date: 2001
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:298:y:2001:i:3:p:553-561

DOI: 10.1016/S0378-4371(01)00266-7

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