Topological analysis of chaos in neural spike train bursts.
Topological analysis of chaos in neural spike train bursts.
复制标题
神经尖峰序列爆发中混沌的拓扑分析。
作者：
R. Gilmore;X. Pei;F. Moss
我们展示了如何描述负责创建混沌行为的拉伸和挤压机制的拓扑模型可以从神经尖峰序列数据中提取。我们已经确定的机制与以前在Duffing振荡器[Gilmore和McCallum，Phys.Rev.E51，935（1995）]和YAG激光器[Boulant等人，E55，5082（1997）]。(c)1999年美国物理学会。
We show how a topological model which describes the stretching and squeezing mechanisms responsible for creating chaotic behavior can be extracted from the neural spike train data. The mechanism we have identified is the same one ("gateau roule," or jelly-roll) which has previously been identified in the Duffing oscillator [Gilmore and McCallum, Phys. Rev. E 51, 935 (1995)] and in a YAG laser [Boulant et al., Phys. Rev. E 55, 5082 (1997)]. (c) 1999 American Institute of Physics.
影响因子：
5.5
作者：
HODGKIN, AL;HUXLEY, AF
通讯作者：
HUXLEY, AF