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Reconstructing spatio-temporal activities of neural sources using MEG vector beamformer

✍ Scribed by Kensuke Sekihara; Srikantan Nagarajan; David Poeppel; Yasushi Miyashita

Book ID
119584507
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
145 KB
Volume
11
Category
Article
ISSN
1053-8119

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Application of an MEG eigenspace beamfor
Application of an MEG eigenspace beamformer to reconstructing spatio-temporal activities of neural sources
✍ Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Alec Marantz; Yasushi M πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 600 KB

## Abstract We have applied the eigenspace‐based beamformer to reconstruct spatio‐temporal activities of neural sources from MEG data. The weight vector of the eigenspace‐based beamformer is obtained by projecting the weight vector of the minimum‐variance beamformer onto the signal subspace of a me