Our MVPA paper "Information Theoretic-based Feature Selection for Multi-Voxel Pattern Analysis of fMRI Data" is done and out!

Post date: Jun 14, 2012 3:51:30 AM

Our BI paper "Information Theoretic based Feature Selection for Multi-Voxel Pattern Analysis of fMRI Data" is done and out! Voxels ranked using MI in descending order give the best accuracy compared to other measures reported in the figure below.

The whole paper will be posted when appropriate.

The paper is submitted to The 2012 International Conference on Brain Informatics, held in Macau, China in Dec.

http://www.fst.umac.mo/wic2012/BI/

We hope to hear the good news from the reviewers soon.

Our team comprises:

Chun-An Chou, Kittipat "Bot" Kampa, Sonya H. Mehta, Rosalia F. Tungaraza, W. Art Chaovalitwongse, and Thomas J. Grabowski