CorrSpikeTrains

A Python class for generating correlated spike trains

This is a Python class implementation of the methods introduced in: Romain Brette, "Generation of Correlated Spike Trains", Neural Computation 21, 188-215, 2009.

• The file corr_spike_trains.py include the main class implementing the Cox process and the Mixture method.
• The file example.py contains two simple examples of how to use the two methods in order to generate correlated spike trains.

Dependencies

• Numpy
• Matplotlib

Platforms where CorrSpikeTrains has been tested

• Ubuntu 20.04.5 LTS
  • GCC 9.4.0
  • Python 3.8.10
  • x86_64