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Abstract: In recent years, several inverse solutions of magnetoencephalography (MEG) have been proposed. Among them, the multiple signal classification (MUSIC) method utilizes spatiotemporal information obtained from magnetic fields. The conventional MUSIC method is, however, sensitive to Gaussian noise and a sufficiently large signal-to-noise ratio (SNR) is required to estimate the number of sources and to specify the precise locations of electrical neural activities. In this paper, a universal fourth... (Update)
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BibTeX entry: (Update)
@misc{ niijima-universal,
author = "Satoshi Niijima and Shoogo Ueno",
title = "Universal Fourth Order Music Method: Incorporation Of ICA Into Meg Inverse
Solution",
url = "citeseer.ist.psu.edu/556485.html" }
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5 Source localization using recursively applied and projected .. (context) - Mosher, Leahy - 1999
3 Localization of independent components from magnetoencephalo.. - Tang, Phung et al. - 2000
1 Pseudo-Randomly generated estimator banks: a new tool for im.. (context) - Gershman - 1998
1 Dipole modeling in FastICA decomposition of evoked responses (context) - Vigario - 2000
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