GPmaps: Estimating Orientation Preference Maps using Gaussian Process Methods
Description
MATLAB code implementing the Gaussian Process based methods for estimating orientation preference maps from optical imaging data as described in Macke et al, 2009 and Macke at al, 2010. The package contains code for- Generating synthetic orientation preference maps and noisy imaging measurements
- Estimating orientation preference maps using Gaussian process methods or vector averaging
- Sampling from the posterior distribution over maps
Installation
To install the code, just unzip the filegpmaps.zip
and add all the folders originating from it to your MATLAB path. Then, run the script DemoScript.m
, which contains a brief tutorial on how to use the methods.Download
- gpmaps.zip (61 kB)
The code is published under the GNU Gneral Public License. The code is provided "as is" and has no warranty whatsoever.
- imagingdata.mat (90 MB)
References
J. H. Macke, S. Gerwinn, M. Kaschube, L. E. White, and M. BethgeBayesian estimation of orientation preference maps
Advances in Neural Information Processing Systems 22, 2009
#bayesian inference, #orientation maps
Code, PDF, BibTex
J. H. Macke, S. Gerwinn, L. White, M. Kaschube, and M. Bethge
Gaussian process methods for estimating cortical maps
NeuroImage, 56(2), 570-581, 2010
#gaussian process
Code, URL, DOI, PDF, BibTex