作者: R. S. Daniel
DOI: 10.1126/SCIENCE.145.3633.721
关键词: Abundance (ecology) 、 Power (physics) 、 Data reduction 、 Stability (probability) 、 Statistics 、 Correlogram 、 Mathematics 、 Rhythm
摘要: Autocorrelations of electroencephalograms can be reduced to ratios estimated power among distinguishable parameters typical tracings: the dominant rhythm, background activity, abundance, and total power. These data reduction methods permit statistical evaluation differences experimental conditions, thus extending usefulness graphic correlograms in research. Ratios discriminate between two conditions subjects, while showing stability over days.