Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8407023 | Biosystems | 2015 | 21 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Modelling and Simulation
Authors
Fioralba Ajazi, George M. Napolitano, Tatyana Turova, Izbassar Zaurbek,