elephant.statistics.complexity_pdf¶
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elephant.statistics.complexity_pdf(spiketrains, bin_size)[source]¶ Complexity Distribution of a list of neo.SpikeTrain objects.
Probability density computed from the complexity histogram which is the histogram of the entries of the population histogram of clipped (binary) spike trains computed with a bin width of bin_size. It provides for each complexity (== number of active neurons per bin) the number of occurrences. The normalization of that histogram to 1 is the probability density.
Implementation is based on [1].
Parameters: - spiketrainslist of neo.SpikeTrain
Spike trains with a common time axis (same t_start and t_stop)
- bin_sizepq.Quantity
Width of the histogram’s time bins.
Returns: - complexity_distributionneo.AnalogSignal
A neo.AnalogSignal object containing the histogram values. neo.AnalogSignal[j] is the histogram computed between t_start + j * bin_size and t_start + (j + 1) * bin_size.
See also
References
[1] S. Gruen, M. Abeles, & M. Diesmann, “Impact of higher-order correlations on coincidence distributions of massively parallel data,” In “Dynamic Brain - from Neural Spikes to Behaviors”, pp. 96-114, Springer Berlin Heidelberg, 2008.
