脉冲神经网络中的混沌模式转变
Chaotic pattern transitions in pulse neural networks.
作者信息
Kanamaru Takashi
机构信息
Department of Innovative Mechanical Engineering, Faculty of Global Engineering, Kogakuin University, 139 Inume, Hachioji-city, Tokyo 193-0802, Japan.
出版信息
Neural Netw. 2007 Sep;20(7):781-90. doi: 10.1016/j.neunet.2007.06.002. Epub 2007 Jul 6.
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.
在由脉冲神经元组成的联想记忆模型中，发现了混沌模式转变，即网络检索到的模式会发生混沌变化。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，模式检索的稳定性从稳定变为混沌。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作用。
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