Izbassar Zaurbek

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Random graphs are an important tool used to model structure and dynamics of real networks, in particular, neural networks. In general a network is a collection of objects connected to each other in some fashion. In neural network the nodes represent neurons, and the edges model the dendrites and axons which receive and transmit impulses. Questions related(More)
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(More)
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