Neurometric Function Analysis for Neural Population Codes


This package contains MATLAB functions to replicate the results presented in the papers

The package contains functions for numerically computing the MDE, the IMDE and the MMSE for a homogenous population with responding to an angular variable with a Gaussian Poisson-like noise model. Fisher information and the MASE are also computed. It also contains a function to estimate the MDE of an independent population with discrete Poisson distributed spike counts. The package contains a demo.m file which explains how to use the functions. In addition, all functions contain comments, which might be helpful for understanding the code.

It should be easy to adapt the code for specific other uses, since it is fairly modular. The core routines are estimateMMSE.m and estimateMDE.m, where the error measures for a specific population are computed. If you require other tuning function shapes or covariance structures, you need to change genPop.m, genMean.m and genCov.m.

If you discover problems or - worse, but inevitable - a bug, please send an to Philipp Berens.


University of Tuebingen BCCN CIN MPI