Chaotic pattern transitions in pulse neural networks
Chaotic pattern transitions in pulse neural networks
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DOI：
10.1016/j.neunet.2007.06.002
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发表时间：
2007-09
期刊：
影响因子：
--
通讯作者：
T. Kanamaru
中科院分区：
文献类型：
--
作者：
T. Kanamaru
在由脉冲神经元组成的联想记忆模型中，发现了混沌模式的转变，其中网络检索的模式发生了混沌变化。该网络由多个脉冲神经元模块组成，当模块间连接强度降低时，模式检索的稳定性由稳定变为混沌。研究发现，存储模式的混合模式在混沌模式转变中起着重要的作用。
In models of associative memory composed of pulse neurons, chaotic pattern transitions where the pattern retrieved by the network changes chaotically were found. The network is composed of multiple modules of pulse neurons, and when the inter-module connection strength decreased, the stability of pattern retrieval changed from stable to chaotic. It was found that the mixed pattern of stored patterns plays an important role in chaotic pattern transitions.