# Command: gamma_sup_generator

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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:

- ppd_sup_generator
- poisson_generator_ps
- spike_generator
- Device
- StimulatingDevice

Source:

    /opt/conda/conda-bld/nest_1510212701067/work/nest-2.14.0/models/gamma_sup_generator.h

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