Multistability and delayed recurrent loops
Multistability and delayed recurrent loops
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DOI：
10.1103/physrevlett.76.708
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发表时间：
1996-01-22
影响因子：
8.6
通讯作者：
Milton, J
中科院分区：
文献类型：
--
作者：
Foss, J;Longtin, A;Milton, J
多稳态动力系统在模式识别和记忆存储等方面有着重要的应用。在此条件下，时间延迟的发放神经元的递归循环表现出多稳定性。我们的研究结果都说明了一个简单的集成和消防神经元和霍奇金-赫胥黎型神经元，其经常性的输入延迟版本的输出尖峰列车。两种多稳定性相对于初始尖峰函数被发现，这取决于神经元是否是兴奋的或重复发射在没有反馈。
Multistable dynamical systems have important applications as pattern recognition and memory storage devices. Conditions under which time-delayed recurrent loops of spiking neurons exhibit multistability are presented. Our results are illustrated on both a simple integrate-and-fire neuron and a Hodgkin-Huxley-type neuron, whose recurrent inputs are delayed versions of their output spike trains. Two kinds of multistability with respect to initial spiking functions are found, depending on whether the neuron is excitable or repetitively firing in the absence of feedback.