Downloads

Downloads

Get the Toolbox

There are a number of ways to acquire the MVPA project code depending on your preferred usage.

You can also retrieve the latest release of the toolbox.

The most up-to-date SVN development version.

Archive of old download versions

Note: We highly recommend upgrading to the latest version, as each upgrade is mostly backwards-compatible.

• 0.7.1
• 0.7
• 0.6.1
• 0.6

Get the Data-sets

• the Haxby et al. (2001) sample data (340MB)
• Analyze Format (340MB)
• Nifti Format (340MB)
• md5 Checksums right click to download. (.1k) - Instructions for use found here.

Having downloaded them, follow these instructions, and then you should be ready to start the tutorial. Contact us if you have trouble with the installation.

Papers and Abstracts

The Multi-Voxel Pattern Analysis (MVPA) toolbox - abstract (2006) (poster #50, presented on Wed June 15th in the afternoon) Greg J Detre, Sean M Polyn, Christopher D Moore, Vaidehi S Natu, Benjamin D Singer, Jonathan D Cohen, James V Haxby, Kenneth A Norman

A Matlab-based toolbox to facilitate multi-voxel pattern classification of fMRI data (2005) Sean M Polyn, Greg J Detre, Sylvain Takerkart, Vaidehi S Natu, Michael S Benharrosh, Benjamin D Singer, Jonathan D Cohen, James V Haxby, Kenneth A Norman

Important disclaimer

At this point in time, the Princeton MVPA toolbox is unsupported beta software, which we are making available to anyone who might find it useful. Because the software is still in beta form, there may be bugs and other teething problems. We do not take any responsibility for any problems that you might have related to use of the software. If you find a bug or have any further suggestions, you should let us know, but (given the presently unsupported status of the software), we may not be able to reply to all of the queries that we receive regarding the software.

A list of all local downloads.