相关性研究的最新研究成果Scaled correlation analysis 欧洲神经科学杂志2012年1月-When computing a cross-correlation histogram, slower signal components can hinder the detection of faster components, which are

often in the research focus. For example, precise neuronal synchronization often co-occurs with slow co-variation in neuronal rate

responses. Here we present a method – dubbed scaled correlation analysis – that enables the isolation of the cross-correlation

histogram of fast signal components. The method computes correlations only on small temporal scales (i.e. on short segments of

signals such as 25 ms), resulting in the removal of correlation components slower than those defined by the scale. Scaled correlation

analysis has several advantages over traditional filtering approaches based on computations in the frequency domain. Among its

other applications, as we show on data from cat visual cortex, the method can assist the studies of precise neuronal synchronization.