Warning
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