A method for recognizing patterns of neural spike trains and its application
神经放电序列模式的一种识别方法及应用

A spike train is treated as a time-dependent stair-like function called response function.Three characteristic variables defined at sequential moments,including two formal derivatives and the integration of the response function,are introduced to reflect the temporal patterns of a spike train.These variables have obvious geometric meaning in expressing the response and coding of neural spike trains reasonably.The reconstruction of a spike train with these variables demonstrates that the information carried by spike trains can be well preserved.A mathematical model of cold receptor is considered as an example to study the temporal patterns based on the characteristic variables of its response functions under different temperature conditions.