These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
218 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]
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]