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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