Application of an MEG eigenspace beamfor
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Kensuke Sekihara; Srikantan S. Nagarajan; David Poeppel; Alec Marantz; Yasushi M
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Article
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2002
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John Wiley and Sons
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English
โ 600 KB
## Abstract We have applied the eigenspaceโbased beamformer to reconstruct spatioโtemporal activities of neural sources from MEG data. The weight vector of the eigenspaceโbased beamformer is obtained by projecting the weight vector of the minimumโvariance beamformer onto the signal subspace of a me