Pattern recognition in spike trains

The modern neuroelectrical physiology indicates that there are certain patterns in neural spike trains which appear more frequently than others. These favored patterns (FP) may be related to the mechanism of neural information processing in central nervous system. This paper describes the quantized Monte Carlo method and template method which are used in FP recognition. The Monte Carlo method determines the FP candidates. The template method chooses FP from the candidates and counts the number of the FP in the spike train. This work will be pursued for extracting the FP in some complicated spike train.<>