Department of Statistics, UCLA

This work discusses computational problems related to the implementation of Victor and Purpura’s spike time distance metric for point processes. Properties of the metric and extensions of its use are investigated. These extensions include prototype point patterns that can be used for describing a typical point pattern and various clustering algorithms that can be applied to point process data through use of spike-time distance and prototype patterns.