ppd_sup_generator - simulate the superimposed spike train of a populationDescription:
of Poisson processes
with dead time.
The ppd_sup_generator generator simulates the pooled spike train of a
population of neurons firing independently with Poisson process with dead
The rate parameter can also be sine-modulated. The generator does not
initialize to equilibrium in this case, initial transients might occur.
The following parameters appear in the element's status dictionary:
rate double - mean firing rate of the component processes,
default: 0 s^-1
dead_time double - minimal time between two spikes of the component
processes, default: 0 ms
n_proc long - number of superimposed independent component
processes, default: 1
frequency double - rate modulation frequency, default: 0 Hz
relative_amplitude double - relative rate modulation amplitude, default: 0
The generator has been published in Deger, Helias, Boucsein, Rotter (2011)
Statistical properties of superimposed stationary spike trains,
Journal of Computational Neuroscience.
June 2009, Moritz Deger, Moritz Helias