http://www.nitrc.org/forum/forum.php?forum_id=4587 <table border="0" width="100%"><tr><td align="left"/></tr></table> <p><b>General Non-unitary Constrained ICA and its Application to Complex-valued fMRI Data.</b></p> <p>IEEE Trans Biomed Eng. 2014 Nov 20;</p> <p>Authors: Rodriguez P, Anderson M, Calhoun V, Adali T</p> <p>Abstract<br/> Constrained independent component analysis (CICA) algorithms provide an effective way to introduce prior information into the complex- and real-valued ICA framework. The work in this area has focus on adding constraints to the objective function of algorithms that assume a unitary demixing matrix. The unitary condition is required in order to decouple- isolate-the constraints applied for each individual source. This assumption limits the optimization space and therefore the separation performance of C-ICA algorithms. We generalize the existing C-ICA framework by using a novel decoupling method that preserves the larger optimization space for the demixing matrix. This framework allows for the constraining of either the sources or the mixing coefficients. A constrained version of the non-unitary entropy bound minimization algorithm is introduced and applied to actual complex-valued fMRI data.We show that constraining the mixing parameters using a temporal constraint improves the estimation of the spatial map and timecourses of task-related components.<br/> </p><p>PMID: 25420255 [PubMed - as supplied by publisher]</p> en-us Copyright 2000-2026 NITRC OSI Fri, 01 May 2026 9:36:17 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator