Masa-aki Sato
Orcid: 0000-0003-4366-7289
According to our database1,
Masa-aki Sato
authored at least 61 papers
between 1990 and 2019.
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Bibliography
2019
Estimating repetitive spatiotemporal patterns from many subjects' resting-state fMRIs.
NeuroImage, 2019
Frontiers Comput. Neurosci., 2019
2016
Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm.
NeuroImage, 2016
Estimating repetitive spatiotemporal patterns from resting-state brain activity data.
NeuroImage, 2016
Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes.
NeuroImage, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Corrigendum to "MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks" [NeuroImage 105 (2015) 408-427].
NeuroImage, 2015
MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks.
NeuroImage, 2015
Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics.
Frontiers Comput. Neurosci., 2015
2014
Estimation of hyper-parameters for a hierarchical model of combined cortical and extra-brain current sources in the MEG inverse problem.
NeuroImage, 2014
Hierarchical Bayesian Model for Diffuse Optical Tomography of the Human Brain: Human Experimental Study.
J. Adv. Comput. Intell. Intell. Informatics, 2014
2013
Differential activation of brain regions involved with error-feedback and imitation based motor simulation when observing self and an expert's actions in pilots and non-pilots on a complex glider landing task.
NeuroImage, 2013
MEG source reconstruction constrained by diffusion MRI based whole brain dynamical model.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
IEEE Trans. Biomed. Eng., 2012
Reconstruction of flexor and extensor muscle activities from electroencephalography cortical currents.
NeuroImage, 2012
Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior.
NeuroImage, 2012
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012
2011
Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods.
NeuroImage, 2011
Intell. Autom. Soft Comput., 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
NeuroImage, 2010
Proceedings of the Auditory-Visual Speech Processing, 2010
2009
Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS).
NeuroImage, 2009
A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts.
NeuroImage, 2009
2008
Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.
NeuroImage, 2008
Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns.
NeuroImage, 2008
Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
2007
Syst. Comput. Jpn., 2007
Neural Networks, 2007
Reconstruction of Temporal Movement from Single-trial Non-invasive Brain Activity: A Hierarchical Bayesian Method.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
2006
Robotics Auton. Syst., 2006
2005
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005
2004
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2003
Syst. Comput. Jpn., 2003
Bioinform., 2003
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
2001
Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot.
Syst. Comput. Jpn., 2001
Proceedings of the Artificial Neural Networks, 2001
2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1998
Neural Networks, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
On-Line EM Algorithm for Mixture of Local Experts.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1997
Neural Networks, 1997
1994
Distributed Pool for Efficient Data Distribution in KL1.
Proceedings of the ILPS 94 Workshop on Design and Implementation of Parallel Logic Programming Systems, 1994
1992
The Design of the PIMOS File System.
Proceedings of the International Conference on Fifth Generation Computer Systems. FGCS 1992, 1992
1990
APOLONN brings us to the real world: learning nonlinear dynamics and fluctuations in nature.
Proceedings of the IJCNN 1990, 1990
Proceedings of the IJCNN 1990, 1990