gamma_sup_generator


Name:
gamma_sup_generator - simulate the superimposed spike train of a  
population of gamma process.
Description:
 

The gamma_sup_generator generator simulates the pooled spike train of a
population of neurons firing independently with gamma process statistics.

Parameters:
 
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

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

Author:
 
Jan 2011, Moritz Deger

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