gamma_sup_generator – Simulate the superimposed spike train of a population of gamma processes
==============================================================================================

Description
+++++++++++

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

.. include:: ../models/stimulation_device.rst

rate
    Mean firing rate of the component processes, default: 0 spikes/s

gamma_shape
    Shape parameter of component gamma processes, default: 1

n_proc
    Number of superimposed independent component processes, default: 1


See also [1]_.

Set parameters from a stimulation backend
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The parameters in this stimulation device can be updated with input
coming from a stimulation backend. The data structure used for the
update holds one value for each of the parameters mentioned above.
The indexing is as follows:

 0. rate
 1. gamma_shape
 2. n_proc

References
++++++++++

.. [1] Deger, Helias, Boucsein, Rotter (2011). Statistical properties of
       superimposed stationary spike trains. Journal of Computational
       Neuroscience. DOI: https://doi.org/10.1007/s10827-011-0362-8

See also
++++++++
:doc:`Device <index_device>`, :doc:`Generator <index_generator>`