Google matrix analysis of C.elegans neural network

Vivek Kandiah (1) , Dima Shepelyansky (1)

1 ICQ - Cohérence Quantique (LPT)

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.

Mots clés: Physics; Physics and Society; Quantitative Biology; Neurons and Cognition; Computer Science; Social and Information Networks

Domaines: Physique et Société [physics.soc-ph]

Vivek Kandiah, Dima Shepelyansky. Google matrix analysis of C.elegans neural network. Physics Letters A, 2014, 378 (28-29), pp.1932-1936. ⟨10.1016/j.physleta.2014.04.045⟩. ⟨hal-00903270⟩