DocumentCode :
2885255
Title :
Pattern recognition in spike trains
Author :
Chen Ziaoying ; Zhenming, Chai
Author_Institution :
Inst. of Electron., Acad. Sinica, Beijing, China
fYear :
1991
fDate :
16-17 Jun 1991
Firstpage :
365
Abstract :
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
Keywords :
Monte Carlo methods; bioelectric potentials; computerised pattern recognition; neurophysiology; favored patterns; neural information processing; neural spike trains; neuroelectrical physiology; quantized Monte Carlo method; template method; Central nervous system; Data mining; Flowcharts; Information processing; Magnetic separation; Magnetic shielding; Pattern recognition; Physiology; Quantization; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CICCAS.1991.184362
Filename :
184362
Link To Document :
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