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!

ppd_sup_generator – Simulate the superimposed spike train of a population of Poisson processes with dead time

Description

The ppd_sup_generator generator simulates the pooled spike train of a population of neurons firing independently with Poisson process with dead time statistics. The rate parameter can also be sine-modulated. The generator does not initialize to equilibrium in this case, initial transients might occur.

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

dead_time

ms

Minimal time between two spikes of the component processes, default: 0 ms

n_proc

integer

Number of superimposed independent component processes, default: 1

frequency

Hz

Rate modulation frequency, default: 0 Hz

relative_amplitude

real

Relative rate modulation amplitude, default: 0

References

1

Deger M, Helias M, Boucsein C, Rotter S (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