Sung Chan Jun

Summary

Affiliation: University of New Mexico
Country: USA

Publications

  1. ncbi Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise
    Sung Chan Jun
    Department of Computer Science, University of New Mexico, Albuquerque 87131, USA
    Phys Med Biol 47:2547-60. 2002
  2. ncbi MEG source localization using an MLP with a distributed output representation
    Sung Chan Jun
    Biological and Quantum Physics Group, MS D454, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
    IEEE Trans Biomed Eng 50:786-9. 2003
  3. ncbi Fast robust subject-independent magnetoencephalographic source localization using an artificial neural network
    Sung Chan Jun
    Biological and Quantum Physics Group, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
    Hum Brain Mapp 24:21-34. 2005

Collaborators

Detail Information

Publications3

  1. ncbi Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise
    Sung Chan Jun
    Department of Computer Science, University of New Mexico, Albuquerque 87131, USA
    Phys Med Biol 47:2547-60. 2002
    ..MLPs trained with noise perform better than the MLP trained without noise, and the MLP trained with real brain noise is almost as good an initial guesser for LM as the correct dipole location...
  2. ncbi MEG source localization using an MLP with a distributed output representation
    Sung Chan Jun
    Biological and Quantum Physics Group, MS D454, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
    IEEE Trans Biomed Eng 50:786-9. 2003
    ..28 cm with a decrease in computation time from 36 ms to 30 ms. We apply the Soft-MLP localizer to real MEG data separated by a blind source separation algorithm, and compare the Soft-MLP dipole locations to those of a conventional system...
  3. ncbi Fast robust subject-independent magnetoencephalographic source localization using an artificial neural network
    Sung Chan Jun
    Biological and Quantum Physics Group, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
    Hum Brain Mapp 24:21-34. 2005
    ..We applied these methods to localize single dipole sources from MEG components isolated by blind source separation and compared the estimated locations to those generated by standard manually assisted commercial software...