gamma_sup_generator - imulate the superimposed spike train of a
population of gamma process.
The gamma_sup_generator generator simulates the pooled spike train of a
population of neurons firing independently with gamma process statistics.
The following parameters appear in the element's status dictionary:
rate double - mean firing rate of the component processes,
default: 0s^-1
gamma_shape long - shape paramter of component gamma processes, default: 1
n_proc long - number of superimposed independent component processes,
default: 1
The generator has been published in Deger, Helias, Boucsein, Rotter (2011)
Statistical properties of superimposed stationary spike trains,
Journal of Computational Neuroscience.
URL: http://www.springerlink.com/content/u75211r381p08301/
DOI: 10.1007/s10827-011-0362-8
Jan 2011, Moritz Deger
/usr/src/packages/BUILD/models/gamma_sup_generator.h