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    Progress in Blind Separation of Magnetoencephalographic Data

    Pearlmutter, Barak A. and Jaramillo, Santiago (2003) Progress in Blind Separation of Magnetoencephalographic Data. Proceedings of SPIE, 5102. pp. 129-134. ISSN 0277-786X

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    The match between the physics of MEG and the assumptions of the most well developed blind source separation (BSS) algorithms (unknown instantaneous linear mixing process, many sensors compared to expected recoverable sources, large data limit) have tempted researchers to apply these algorithms to MEG data. We review some of these efforts, with particular emphasis on our own work.

    Item Type: Article
    Additional Information: Citation: Barak A. Pearlmutter and Santiago Jaramillo "Progress in blind separation of magnetoencephalographic data", Proc. SPIE 5102, Independent Component Analyses, Wavelets, and Neural Networks, 129 (April 4, 2003); doi:10.1117/12.502478;
    Keywords: Blind Separation; Magnetoencephalographic Data; algorithms; MEG;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8140
    Identification Number:
    Depositing User: Barak Pearlmutter
    Date Deposited: 10 Apr 2017 12:25
    Journal or Publication Title: Proceedings of SPIE
    Publisher: SPIE
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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