Structure of a randomly grown 2-d network
Research output: Contribution to journal › Journal article › Research › peer-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.
|Number of pages||8|
|Publication status||Published - 1 Oct 2015|
- Random graphs, Randomly grown network