Progress in blind separation of magnetoencephalographic data

Barak A. Pearlmutter; Santiago Jaramillo

doi:10.1117/12.502478

1 April 2003 Progress in blind separation of magnetoencephalographic data

Barak A. Pearlmutter, Santiago Jaramillo

Proceedings Volume 5102, Independent Component Analyses, Wavelets, and Neural Networks; (2003) https://doi.org/10.1117/12.502478
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Barak A. Pearlmutter and Santiago Jaramillo "Progress in blind separation of magnetoencephalographic data", Proc. SPIE 5102, Independent Component Analyses, Wavelets, and Neural Networks, (1 April 2003); https://doi.org/10.1117/12.502478

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