动作电位序列的信息论分析。I. 两个神经元之间的相关性分析。
Information theoretic analysis of action potential trains. I. Analysis of correlation between two neurons.
作者信息
Yamada S, Nakashima M, Matsumoto K, Shiono S
机构信息
Central Research Laboratory, Mitsubishi Electric Corporation, Hyogo, Japan.
出版信息
Biol Cybern. 1993;68(3):215-20. doi: 10.1007/BF00224854.
A crosscorrelational method of action potential trains has been proposed, based on information theory. Two information theoretic quantities, mutual information and channel capacity, were calculated from a pair of action potential trains for detecting a crosscorrelation and estimating synaptic connectivity. The method was compared with conventional ones, using action potential trains obtained by the simulation of a neuron model. This method was shown to have the advantages to more easily find a weak but significant crosscorrelation and to give better estimation of synaptic connectivity independent of the firing probability of a presynaptic neuron.
基于信息论，一种动作电位序列的互相关方法被提出来了。从一对动作电位序列中计算出两个信息论量，即互信息和信道容量，用于检测互相关并估计突触连接性。使用通过神经元模型模拟得到的动作电位序列，将该方法与传统方法进行了比较。结果表明，该方法具有更容易找到微弱但显著的互相关以及能更独立于突触前神经元的发放概率给出更好的突触连接性估计的优点。
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