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Non-gaussian probabilistic MEG source localisation based on kernel density estimation

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Hamid R Mohseni, Institute of Biomedical Engineering, School of Engineering Science, University of Oxford, United Kingdom
  • Morten L. Kringelbach
  • Mark Woolrich, Oxford Centre for Human Brain Activity (OHBA), Department of Psychiatry, University of Oxford, United Kingdom
  • Adam Baker, Institute of Biomedical Engineering, School of Engineering Science, University of Oxford, United Kingdom
  • Tipu Z Aziz, Oxford Functional Neurosurgery, Nuffield Department of Surgery, John Radcliffe Hospital, United Kingdom
  • Penny Probert-Smith, Institute of Biomedical Engineering, School of Engineering Science, University of Oxford, United Kingdom
Original languageEnglish
JournalNeuroImage
Volume87
Pages (from-to)444-464
Number of pages21
ISSN1053-8119
DOIs
Publication statusPublished - 15 Feb 2014

    Research areas

  • Beamformer, Magnetoencephalography, Non-Gaussian, Null-beamformer, Source reconstruction

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