Structure of a randomly grown 2-d network

Research output: Contribution to journalJournal articleResearchpeer-review

We introduce a growing random network on a plane as a model of a growing neuronal network. The properties of the structure of the induced graph are derived. We compare our results with available data. In particular, it is shown that depending on the parameters of the model the system undergoes in time different phases of the structure. We conclude with a possible explanation of some empirical data on the connections between neurons.

Original languageEnglish
Pages (from-to)105-112
Number of pages8
Publication statusPublished - 1 Oct 2015

    Research areas

  • Random graphs, Randomly grown network

ID: 194769494