中文摘要：

神经元集群编码和spike train分析是神经信息处理的关键问题。该文介绍了一种利用高阶多维泊松模型对spike train进行分类预测的方法,并从spike的强度分布、匹配准确性和集成策略上进行了数学论证。最后利用该方法在大鼠U迷宫实验中选取20组作为训练集进行分类测试,实验结果表明,利用该方法得到的分类准确率在97%左右。

英文摘要：

Neural population encoding and analysis of spike train play an important role in the field of neural inforamtion processing.In this study,a classification method of spike train is proposed based on high-order multiple Possion model,and a mathematic deduction is made in the spike instensity distribution,accuracy of matching and integration strategy,respectively.Finally,20 trails,as a traing set,are applied to experiment of U maze of mouse.The result demonstrates that the accuracy rate of the classification method is about 97%.