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Hierarchical Bayesian estimation for MEG inverse problem

2004280 citationsJournal Article

Authors

Masa-aki Sato · Japan Science and Technology Agency

Shigeki Kajihara · Shimadzu (Japan)

Keisuke Toyama · Shimadzu (Japan)

Naokazu Goda · National Institute for Physiological Sciences

Kenji Doya · Japan Science and Technology Agency

Topics & Keywords

Advanced MRI Techniques and Applications Blind Source Separation Techniques Sparse and Compressive Sensing Techniques

Publication Details

Published in: NeuroImage

Volume 23, Issue 3, pp. 806-826

DOI: 10.1016/j.neuroimage.2004.06.037

Field-Weighted Citation Impact: 9.50

Hierarchical Bayesian estimation for MEG inverse problem | Researchclopedia