Abstract

We present a new spike train analysis technique based on interval difference statistics. The Joint Cross Interval Difference (JCID) scatter plot is introduced to examine the dependency relationship between adjacent CIDs in a spike train allowing for inferences to be made about local cross train trends. Monotonically increasing, decreasing, constant, or alternatively varying CIDs will appear in separate quadrants in this JCID scatter plot. The method was applied to simulated spike trains in order to display the capabilities of this new technique. Repeated cross train trends between pairs of neurons can seen as clusters and bands of points in specific quadrants of this new scatter plot.

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