FIT is a Matlab toolbox which implements the joint ICA and parallel ICA methods. It is supported by the NIH under grant 1RO1EB005846 and the NSF-SEI under grant NSF0612076 to Dr. Vince D. Calhoun and Dr. Tulay Adali. It is used to examine the shared information between the features (SPM contrast image, EEG signal or SNP data). FIT works on Matlab 6.5 and higher. For any question or comments please contact Vince Calhoun (vcalhoun@unm.edu) or Srinivas Rachakonda (srachakonda@mrn.org).
FITv2.0b was released on Mar 20, 2009. CCA + Joint ICA utility is added. Till the date of Feb 09, 2011, the Fusion ICA Toolbox has been downloaded more than 827 times independently by worldwide researchers. Please see new features section for more information. For information on other toolboxes, please visit mialab.mrn.org.
