基于小世界网络的一种简单神经元模型的自组织临界性
首发时间:2005-01-11
摘要:具有小世界结构的相互作用理想化神经元的简单模型被引入。模型的基本元素具有神经元功能的主要特征。我们发现模型呈现雪崩大小的幂律行为且产生长程时间关联和1/f噪声。但是更重要的是,我们发现对于网络不同的捷径密度Φ,有不同的雪崩动力学行为。
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Self-organized Criticality in a Simple Model of Neurons Based on Small World Networks
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 1/f noise. But more importantly, we find there are different avalanche dynamical behaviors for different Φ , the density of short paths in our network.
Keywords: self-organized criticality, avalanche, small world network
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