Abstract
A simple model for a set of interacting idealized neurons with small-world structure is introduced. The basic elements of the model are endowed with the main features of a neuron function. We find that our model displays power-law behavior of avalanche sizes and generates long-range temporal correlations and noise. More importantly, we find there are different avalanche dynamical behaviors for different , the density of short paths in the network.
- Received 15 April 2004
DOI:https://doi.org/10.1103/PhysRevE.71.016133
©2005 American Physical Society