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Different Avalanche Behaviors in Different Specific Areas of a System Based on Neural Networks

机译:基于神经网络的系统在特定区域的不同雪崩行为

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摘要

Based on the standard self-organizing map (SOM) neural network model and an integrate-and-fire mecha-nism, we introduce a kind of coupled map lattice system to investigate scale-invariance behavior in the activity of modelneural populations. We find power-law distribution behavior of avalanche size in our model. But more importantly, wefind there are different avalanche distribution behaviors in different specific areas of our system, which are formed by thetopological learning process of the SOM net.
机译:基于标准的自组织图(SOM)神经网络模型和集成射击机制,我们引入了一种耦合图格子系统,以研究模型神经人口活动中的尺度不变行为。我们在模型中发现雪崩大小的幂律分布行为。但是更重要的是,我们发现在系统的不同特定区域中存在不同的雪崩分布行为,这些行为是由SOM网络的拓扑学习过程形成的。

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