gamma_sup_generator - simulate the superimposed spike train of aDescription:
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,
gamma_shape long - shape paramter of component gamma processes, default: 1
n_proc long - number of superimposed independent component processes,
The generator has been published in Deger, Helias, Boucsein, Rotter (2011)
Statistical properties of superimposed stationary spike trains,
Journal of Computational Neuroscience.
Jan 2011, Moritz Deger