| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1861372 | Physics Letters A | 2014 | 5 Pages |
•Neural network of C.elegans is analyzed as directed graph.•Google matrix analysis is used to characterize neuron connectivity structure.•Spectral properties of Google matrix of this graph are established.•PageRank, CheiRank and ImpactRank allow to determine interdependency of neurons.
We study the structural properties of the neural network of the C.elegans (worm) from a directed graph point of view. The Google matrix analysis is used to characterize the neuron connectivity structure and node classifications are discussed and compared with physiological properties of the cells. Our results are obtained by a proper definition of neural directed network and subsequent eigenvector analysis which recovers some results of previous studies. Our analysis highlights particular sets of important neurons constituting the core of the neural system. The applications of PageRank, CheiRank and ImpactRank to characterization of interdependency of neurons are discussed.
