# 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 file`gpmaps.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. Bethge**Bayesian 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