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