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This is A PREVIEW for NEST 3.0 and NOT an OFFICIAL RELEASE! Some functionality may not be available and information may be incomplete!

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.

Parameters

The following parameters appear in the element’s status dictionary:

rate

spikes/s

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

gamma_shape

integer

Shape parameter of component gamma processes, default: 1

n_proc

integer

Number of superimposed independent component processes, default: 1

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

Device, Generator