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Application of an MEG eigenspace beamformer to reconstructing spatio‐temporal activities of neural sources

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 measurement cov...

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Bibliographische Detailangaben
Veröffentlicht in:Hum Brain Mapp
Hauptverfasser: Sekihara, Kensuke, Nagarajan, Srikantan S., Poeppel, David, Marantz, Alec, Miyashita, Yasushi
Format: Artigo
Sprache:Inglês
Veröffentlicht: John Wiley & Sons, Inc. 2002
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6871855/
https://ncbi.nlm.nih.gov/pubmed/11835609
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.10019
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