README

Princeton Multi-Voxel Pattern Analysis (MVPA) Toolbox

The MVPA Toolbox is a set of Matlab tools to facilitate multi-voxel pattern analysis of fMRI neuroimaging data.

The aim is to create a set of open source functions in a widely-used language to facilitate exploration of multi-voxel pattern analysis techniques and to reduce the 'startup costs' for knowledgeable users eager to apply pattern classification algorithms to their imaging data. By developing the toolbox in the Matlab environment, users are able to take advantage of the vast array of existing functions. The data structures used and generated by the toolbox are designed to facilitate exploration and further script development.

You can read the archive or join the public discussion mailing list.

• Download the Toolbox and Data-sets
• Getting started
• Wiki documentation
• Read/post to the Google Groups mailing list
• 2006 Pittsburgh EBC Competition

<a href='Hidden comment: == Princeton links ==

• [http://www.princeton.edu/neuroscience/ PNI]
• [http://compmem.princeton.edu/ Computational Memory Lab]
• [http://weblamp.princeton.edu/~psych/psychology/research/cohen/index.php Jonathan Cohen]
• [http://weblamp.princeton.edu/~psych/psychology/research/norman/index.php Ken Norman]
• [http://dfd.dartmouth.edu/directory/show/427 Jim Haxby]
• [http://www.princeton.edu/~ramadge/ Peter Ramadge]
• [http://www.pacm.princeton.edu/~ingrid/ Ingrid Daubechies]
• [http://weblamp.princeton.edu/~psych/psychology/research/hasson/index.php Uri Hasson]
• [http://weblamp.princeton.edu/~psych/psychology/research/turk-browne/index.php Nick Turk-Browne]
• [http://www.princeton.edu/~matthewb/ Matt Botvinick] '>