ppd_sup_generator - imulate the superimposed spike train of a population
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
time statistics.
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:
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=================== ======== =================================================
rate spikes/s Mean firing rate of the component processes,
default: 0 spikes/s
dead_time ms Minimal time between two spikes of the component
processes, default: 0 ms
n_proc integer Number of superimposed independent component
processes, default: 1
frequency Hz Rate modulation frequency, default: 0 Hz
relative_amplitude real Relative rate modulation amplitude, default: 0
=================== ======== =================================================
\endverbatim
\verbatim embed:rst
.. [1] Deger M, Helias M, Boucsein C, Rotter S (2011). Statistical properties
of superimposed stationary spike trains. Journal of Computational
Neuroscience. DOI: https://doi.org/10.1007/s10827-011-0362-8
\endverbatim
June 2009, Moritz Deger, Moritz Helias
/var/www/debian/nest/nest-simulator-2.20.0/models/ppd_sup_generator.h