Chaos in neurons and its application: perspective of chaos engineering.
Chaos in neurons and its application: perspective of chaos engineering.
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DOI：
10.1063/1.4738191
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发表时间：
2012-12
期刊：
影响因子：
2.9
通讯作者：
Yoshito Hirata;Makito Oku;K. Aihara
中科院分区：
文献类型：
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作者：
Yoshito Hirata;Makito Oku;K. Aihara
本文从混沌工程的角度综述了近年来关于神经元混沌及其在神经网络中的应用的研究进展。特别地，我们分析了鱿鱼巨型轴突的数据集，并将我们之前的识别Devaney混沌的工作与替代数据分析相结合，并表明轴突可以表现为混沌。基于这些知识，我们使用一个混沌神经元模型来研究大脑中可能的信息处理。
We review our recent work on chaos in neurons and its application to neural networks from perspective of chaos engineering. Especially, we analyze a dataset of a squid giant axon by newly combining our previous work of identifying Devaney's chaos with surrogate data analysis, and show that an axon can behave chaotically. Based on this knowledge, we use a chaotic neuron model to investigate possible information processing in the brain.