ppd_sup_generator


Name:
ppd_sup_generator - simulate the superimposed spike train of a population  
of Poisson processes
with dead time.
Description:
 

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.

Parameters:
 
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

Remarks:
 
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

Authors:
June 2009, Moritz Deger, Moritz Helias

SeeAlso: Source:
/home/graber/work-nest/nest-git/nest-simulator/models/ppd_sup_generator.h