Abstract
A computer algorithm to identify 'bursts' in trains of spikes is described. The algorithm works by constructing a histogram of interspike intervals, then analyzing the histogram to detect the critical interval value in the distribution that represents the break between short intervals within a burst and the longer intervals between bursts. When such a value is found, it is used as the 'threshold' to determine those intervals in the spike train that lie within a burst and those that lie between bursts and, thereby, to identify the beginning and end of each burst in the train. The validity of the bursts is evaluated with a chi-square test. The performance of the algorithm and how it can be assessed is discussed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 19-30 |
| Number of pages | 12 |
| Journal | Journal of Neuroscience Methods |
| Volume | 41 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1992 |
Keywords
- Algorithm
- Burst identification
- Interspike interval histogram: Pattern analysis
- Spike train
ASJC Scopus subject areas
- General Neuroscience
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