Self-organized Criticality in an Integrate-and-Fire Neuron Model Based on Modified Aging Networks

基于 integrate-and-Sre 机制，我们与老化节点在一个修改 BA 没有规模的网络上调查一个简单神经原模型的 self-organizedcriticality。在我们的模型，我们发现雪崩尺寸的分发跟随幂定律行为。批评代表τ取决于变老的代表α。有节点的老化的网络的结构随着α的增加变化。在 integrate-and-fire 神经原的模型有到不同行为的不同拓扑的结构。

Based on an integrate-and-fire mechanism, we investigate self-organized criticality of a simple neuron model on a modified BA scale-free network with aging nodes. In our model, we find that the distribution of avalanche size follows power-law behavior. The critical exponent τ depends on the aging exponent α. The structures of the network with aging of nodes change with an increase of α. The different topological structures lead to different behaviors in models of integrate-and-fire neurons.