混沌PCNN的同步振荡与动态聚类

Proceedings of the 41st SICE Annual Conference. SICE 2002. Pub Date : 2002-08-05 DOI:10.1109/SICE.2002.1195246

Y. Yamaguchi, K. Ishimura, M. Wada

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引用次数: 9

摘要

从柔性信息编码的角度研究了脉冲耦合神经网络(PCNN)的混沌同步。利用扩展的Eckhorn PCNN模型，数值分析了具有局部兴奋-全局抑制连接的网络中混沌同步簇的生成。当混沌网络中产生多个簇时，不同簇中神经元的峰值序列之间几乎不存在相互关系。

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Synchronized oscillation and dynamical clustering in chaotic PCNN

Chaotic synchronization of pulse-coupled neural network (PCNN) is studied from the viewpoint of flexible information coding. Using extended Eckhorn's PCNN model, we numerically analyze a generation of chaotic synchronized clusters in a network with locally-excitatory-globally-inhibitory connection. When multiple clusters are generated in the chaotic network, there is almost no cross-correlation between spike sequences of neurons in different clusters.

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Proceedings of the 41st SICE Annual Conference. SICE 2002.

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