An alternate burst analysis for detecting intra-burst firings based on inter-burst periods

A time-scale invariant burst-detection algorithm for single-unit spike train is described. This burst analysis is an auto-adaptive algorithm that uses interand intra-burst intervals for identifying the burst itself. By using a self-adaptive algorithm, a burst is de$ned by the characteristic $ring patterns within and between bursts. Bursts are detected by auto-adaptive method when the inter-burst periods (inter-spike intervals (ISIs) between bursts) exceed the intra-burst periods (the sum of ISIS within a burst). This adaptive method is time-scale invariant because bursts are de$ned by the $ring patterns rather than the speci$c time scale of the bursts or ISIs. c © 2002 Elsevier Science B.V. All rights reserved.