Proc. of the International Symposium on Nonlinear Theory and its Applications (NOLTA), pp. 379-382, Xi’an, 2002
Auditory evoked fields (AEF) like synthesized MEG data decomposition and localization
Y. Konno, J. Cao, T. Arai and A. Cichocki
Abstract: In this paper, an Independent Component Analysis (ICA) algorithm with pre-processing and post-processing techniques to decompose synthesized Magnetoencephalography (MEG) data. The behavior of our data set is similar to auditory evoked fielde (AEFs). The main advantage for analyzing our synthesized data set is the location of evoked responses are known. The analyzed results are presented to illustrate the effectiveness and high performance both in source decomposition and source localization.