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DETERMINATION OF THE FAVORED PATTERN IN NEURAL SPIKE TRAIN WITH MONTE CARLO METHOD AND TEMPLATE METHOD

机译:用蒙特卡罗法测定神经钉火车的青睐模式及模板法

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摘要

The modern neuroelectrical physiology indicates that there are certain patterns inneural spike train which appear more frequently than others.These favored patterns(FP)maybe related to the mechanism of neural information processing in central nervous system.Inthis paper,the quantized Monte Carlo method and template method used in favored patternrecognition are described.The Monte Carlo method determines favored patterns or the possiblefavored patterns,while the template method is used for choosing the FP from the candidates andcounting the number of the FP in the spike train.This work will be pursued for extracting theFP in some complicated spike train.
机译:现代神经电生理学表明,有一定的惰性尖峰列车比其他模式更频繁地出现。这些有利的模式(FP)可能与中枢神经系统中神经信息处理的机制有关。纸张,量化的蒙特卡罗方法和模板描述了所使用的方法。蒙特卡罗方法确定有利的模式或可能的格式化图案,而模板方法用于从候选者中选择FP,并计算尖峰列车中的FP的数量。这将被追求在一些复杂的尖峰列车中提取富汗。

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