222 related articles for article (PubMed ID: 11341527)
1. A probabilistic solution to the MEG inverse problem via MCMC methods: the reversible jump and parallel tempering algorithms.
Bertrand C; Ohmi M; Suzuki R; Kado H
IEEE Trans Biomed Eng; 2001 May; 48(5):533-42. PubMed ID: 11341527
[TBL] [Abstract][Full Text] [Related]
2. Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods.
Nummenmaa A; Auranen T; Hämäläinen MS; Jääskeläinen IP; Lampinen J; Sams M; Vehtari A
Neuroimage; 2007 Apr; 35(2):669-85. PubMed ID: 17300961
[TBL] [Abstract][Full Text] [Related]
3. Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data.
Jun SC; George JS; Paré-Blagoev J; Plis SM; Ranken DM; Schmidt DM; Wood CC
Neuroimage; 2005 Oct; 28(1):84-98. PubMed ID: 16023866
[TBL] [Abstract][Full Text] [Related]
4. Bayesian analysis of the neuromagnetic inverse problem with l(p)-norm priors.
Auranen T; Nummenmaa A; Hämäläinen MS; Jääskeläinen IP; Lampinen J; Vehtari A; Sams M
Neuroimage; 2005 Jul; 26(3):870-84. PubMed ID: 15955497
[TBL] [Abstract][Full Text] [Related]
5. Data-driven parceling and entropic inference in MEG.
Lapalme E; Lina JM; Mattout J
Neuroimage; 2006 Mar; 30(1):160-71. PubMed ID: 16426867
[TBL] [Abstract][Full Text] [Related]
6. Assessing the convergence of Markov Chain Monte Carlo methods: an example from evaluation of diagnostic tests in absence of a gold standard.
Toft N; Innocent GT; Gettinby G; Reid SW
Prev Vet Med; 2007 May; 79(2-4):244-56. PubMed ID: 17292499
[TBL] [Abstract][Full Text] [Related]
7. Hierarchical Bayesian estimation for MEG inverse problem.
Sato MA; Yoshioka T; Kajihara S; Toyama K; Goda N; Doya K; Kawato M
Neuroimage; 2004 Nov; 23(3):806-26. PubMed ID: 15528082
[TBL] [Abstract][Full Text] [Related]
8. A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data.
Zumer JM; Attias HT; Sekihara K; Nagarajan SS
Neuroimage; 2007 Aug; 37(1):102-15. PubMed ID: 17574444
[TBL] [Abstract][Full Text] [Related]
9. MRI prior computation and parallel tempering algorithm: a probabilistic resolution of the MEG/EEG inverse problem.
Bertrand C; Hamada Y; Kado H
Brain Topogr; 2001; 14(1):57-68. PubMed ID: 11599533
[TBL] [Abstract][Full Text] [Related]
10. A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts.
Fujiwara Y; Yamashita O; Kawawaki D; Doya K; Kawato M; Toyama K; Sato MA
Neuroimage; 2009 Apr; 45(2):393-409. PubMed ID: 19150653
[TBL] [Abstract][Full Text] [Related]
11. [Application of weighted minimum-norm estimation with Tikhonov regularization for neuromagnetic source imaging].
Hu J; Hu J; Wang Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2003 Mar; 20(1):157-61. PubMed ID: 12744189
[TBL] [Abstract][Full Text] [Related]
12. MEG source localization under multiple constraints: an extended Bayesian framework.
Mattout J; Phillips C; Penny WD; Rugg MD; Friston KJ
Neuroimage; 2006 Apr; 30(3):753-67. PubMed ID: 16368248
[TBL] [Abstract][Full Text] [Related]
13. Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis.
Jun SC; George JS; Plis SM; Ranken DM; Schmidt DM; Wood CC
Phys Med Biol; 2006 May; 51(10):2395-414. PubMed ID: 16675860
[TBL] [Abstract][Full Text] [Related]
14. Estimation of neural dynamics from MEG/EEG cortical current density maps: application to the reconstruction of large-scale cortical synchrony.
David O; Garnero L; Cosmelli D; Varela FJ
IEEE Trans Biomed Eng; 2002 Sep; 49(9):975-87. PubMed ID: 12214887
[TBL] [Abstract][Full Text] [Related]
15. Phylogenetic MCMC algorithms are misleading on mixtures of trees.
Mossel E; Vigoda E
Science; 2005 Sep; 309(5744):2207-9. PubMed ID: 16195459
[TBL] [Abstract][Full Text] [Related]
16. Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG.
Kiebel SJ; Daunizeau J; Phillips C; Friston KJ
Neuroimage; 2008 Jan; 39(2):728-41. PubMed ID: 17951076
[TBL] [Abstract][Full Text] [Related]
17. Biomagnetic source detection by maximum entropy and graphical models.
Amblard C; Lapalme E; Lina JM
IEEE Trans Biomed Eng; 2004 Mar; 51(3):427-42. PubMed ID: 15000374
[TBL] [Abstract][Full Text] [Related]
18. Multivariate source prelocalization (MSP): use of functionally informed basis functions for better conditioning the MEG inverse problem.
Mattout J; Pélégrini-Issac M; Garnero L; Benali H
Neuroimage; 2005 Jun; 26(2):356-73. PubMed ID: 15907296
[TBL] [Abstract][Full Text] [Related]
19. Bayesian and maximum likelihood estimation of genetic maps.
York TL; Durrett RT; Tanksley S; Nielsen R
Genet Res; 2005 Apr; 85(2):159-68. PubMed ID: 16174334
[TBL] [Abstract][Full Text] [Related]
20. MCMC for hidden Markov models incorporating aggregation of states and filtering.
Rosales RA
Bull Math Biol; 2004 Sep; 66(5):1173-99. PubMed ID: 15294422
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
