Inferring decoding strategies from choice probabilities in the presence of correlated variability
Description
This page contains additional resources related to the paper
R. M. Haefner,
S. Gerwinn,
J. H. Macke, and
M. Bethge
Inferring decoding strategies from choice probabilities in the presence of correlated variability
Nature Neuroscience, 16, 235-242, 2013
#noise correlations, #choice probabilities, #decision making, #population coding
Code, URL, PDF, Perspective, BibTex
Inferring decoding strategies from choice probabilities in the presence of correlated variability
Nature Neuroscience, 16, 235-242, 2013
#noise correlations, #choice probabilities, #decision making, #population coding
Code, URL, PDF, Perspective, BibTex
Code
The package contains Matlab functions for the analytical computation of choice probabilities and for the reconstruction of read-out weights. A demo script illustrates their use in the context of a simplified model with a uniform read-out. All functions contain comments, which might be helpful for understanding the code.
If you have any questions or discover a bug, please email Ralf Häfner.
- haefner2013.zip (3 kb)
- License
