Noise correlations in populations of diversely tuned neurons

Description

This page contains additional resources related to the paper

A. S. Ecker, P. Berens, A. S. Tolias, and M. Bethge
The effect of noise correlations in populations of diversely tuned neurons
The Journal of Neuroscience, 31(40), 14272-14283, 2011
#noise correlations, #population coding, #fisher information, #orientation
Code, URL, DOI, PDF, BibTex

Code

The package contains code to reproduce all figures and numerical simulations in the paper. A readme.txt file, which explains how to use the functions, is included. In addition, all functions contain comments, which might be helpful for understanding the code.

If you have any questions or discover a bug, please email Alexander Ecker.

Additional derivations

In this document we derive the large n behavior of the Fourier components of the limited range correlation structure used in the paper. This is related to Eqs. (21) and (33) in the paper. Peter Latham pointed out to us that it can be shown that under more general conditions than those studied in the paper that Jmean does not saturate but is O(n) if populations of heterogeneous neurons are considered.
University of Tuebingen BCCN CIN MPI