@Article{RSM:Mos99,
  author =       "J.C. Mosher and S. Baillet and R.M. Leahy",
  title =        "{EEG} source localization and imaging using multiple
                 signal classification approaches.",
  journal =      "J Clin Neurophysiol",
  year =         "1999",
  month =        may,
  volume =       "16",
  number =       "3",
  pages =        "225--238",
  robnote =      "The existence of multiple local minima in the dipole
                 source localization error function can result in gross
                 errors in the computed source locations. The problem is
                 further compounded by the requirement that the model
                 order, i.e. the number of dipoles, be determined before
                 error minimization can be performed. Both of these
                 problems can be avoided using alternative search
                 strategies based on the MUSIC (multiple signal
                 classification) algorithm. Here the authors review the
                 MUSIC approach and demonstrate its application to the
                 localization of multiple current dipoles from EEG data.
                 The authors also show that the number of detectable
                 sources can be determined in a recursive manner from
                 the data. Also, in contrast to least-squares, the
                 method can find dipolar sources in the presence of
                 additional non-dipolar sources. Finally, extensions of
                 the MUSIC approach to allow the modeling of distributed
                 sources are discussed. No hard copy",
  bibdate =      "Thu Nov 23 10:02:52 2000",
}

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