Master Equation Perturbation Package
This web page presents the Mathematica package, MEPerturb, that implements perturbation expansions for density functions and moments as described in the papers:
- Leen and Friel. Perturbation Theory for Stochastic Learning Dynamics, Proceedings of IJCNN, San Jose, CA, IEEE Press, 2011.
- Leen and Friel. Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity, Neural Computation, to appear 2012.
- Leen, Friel, and Nielsen. Approximating Distributions in Stochastic Learning, Neural Networks, to appear, 2012.
Download the Mathematica perturbation demonstration notebook (.nb file)
Download the Mathematica perturbation package (.m file, zipped)
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