# MVD - Sampling from Correlated Multivariate Discrete Random Variables

## Description

You can use the software in this package to efficiently sample from- correlated multivariate binary random variables (multivariate Bernoulli),
- correlated multivariate Poisson random variables,
- correlated random variables with arbitrary marginal statistics.

`demo.m`

script.## References

J. Macke,
P. Berens,
A. Ecker,
A. Tolias, and
M. Bethge

#spike train, #correlated poisson, #multivariate poisson, #noise correlations, #discretized gaussian

Code, PDF, BibTex

**Generating Spike Trains with Specified Correlation-Coeffcients***Neural Computation, 2009*#spike train, #correlated poisson, #multivariate poisson, #noise correlations, #discretized gaussian

Code, PDF, BibTex

M. Bethge and
P. Berens

#population coding, #natural image statistics, #maximum entropy

Code, PDF, BibTex

**Near-Maximum Entropy Models for Binary Neural Representations of Natural Images***Advances in Neural Information Processing Systems 20, 2008*#population coding, #natural image statistics, #maximum entropy

Code, PDF, BibTex

## Files

**mackeetal.zip**(73.2 kB)

This file contains

`demo.m`

, a script to replicate the main figures of the paper Macke et al. (2009).
It can also be downloaded from MATLAB Central File Exchange.