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Page 1
Premotor cortex mediates perceptual performance.
Callan D, Callan A, Gamez M, Sato MA, Kawato M. Callan D, et al. Among authors: kawato m. Neuroimage. 2010 Jun;51(2):844-58. doi: 10.1016/j.neuroimage.2010.02.027. Epub 2010 Feb 22. Neuroimage. 2010. PMID: 20184959
Hierarchical Bayesian estimation for MEG inverse problem.
Sato MA, Yoshioka T, Kajihara S, Toyama K, Goda N, Doya K, Kawato M. Sato MA, et al. Among authors: kawato m. Neuroimage. 2004 Nov;23(3):806-26. doi: 10.1016/j.neuroimage.2004.06.037. Neuroimage. 2004. PMID: 15528082
Speech and song: the role of the cerebellum.
Callan DE, Kawato M, Parsons L, Turner R. Callan DE, et al. Among authors: kawato m. Cerebellum. 2007;6(4):321-7. doi: 10.1080/14734220601187733. Epub 2007 Feb 8. Cerebellum. 2007. PMID: 17853077
Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.
Yoshioka T, Toyama K, Kawato M, Yamashita O, Nishina S, Yamagishi N, Sato MA. Yoshioka T, et al. Among authors: kawato m. Neuroimage. 2008 Oct 1;42(4):1397-413. doi: 10.1016/j.neuroimage.2008.06.013. Epub 2008 Jun 21. Neuroimage. 2008. PMID: 18620066
A hierarchical Bayesian method estimated current sources from MEG data, incorporating an fMRI constraint as a hierarchical prior whose strength is controlled by hyperparameters. A previous study [Sato, M., Yoshioka, T., Kajihara, S., Toyama, K., Goda, N., Doya, K., Kawa
A hierarchical Bayesian method estimated current sources from MEG data, incorporating an fMRI constraint as a hierarchical prior whose stren …
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. Fujiwara Y, et al. Among authors: kawato m. Neuroimage. 2009 Apr 1;45(2):393-409. doi: 10.1016/j.neuroimage.2008.12.012. Epub 2008 Dec 25. Neuroimage. 2009. PMID: 19150653
Our method is an extension of the hierarchical variational Bayesian method for MEG source localization proposed by Sato et al. [Sato, M., Yoshioka, T., Kajihara, S., Toyama, K., Goda, N., Doya, K., and Kawato, M., (2004). ...
Our method is an extension of the hierarchical variational Bayesian method for MEG source localization proposed by Sato et al. [Sato, M
370 results