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ORCIDMasa-aki Sato
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2010 – 2019
- 2019
[j36]Takeaki Shimokawa
, Akiko Nishio, Masa-aki Sato, Mitsuo Kawato, Hidehiko Komatsu:
Computational Model for Human 3D Shape Perception From a Single Specular Image. Frontiers Comput. Neurosci. 13: 10 (2019)- [j35]Yusuke Takeda, Takashi Itahashi, Masa-aki Sato, Okito Yamashita:
Estimating repetitive spatiotemporal patterns from many subjects' resting-state fMRIs. NeuroImage 203 (2019) - 2016
- [j34]Yusuke Takeda, Nobuo Hiroe, Okito Yamashita, Masa-aki Sato:
Estimating repetitive spatiotemporal patterns from resting-state brain activity data. NeuroImage 133: 251-265 (2016) - [j33]Okito Yamashita, Takeaki Shimokawa, Ryota Aisu, Takashi Amita, Yoshihiro Inoue, Masa-aki Sato:
Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm. NeuroImage 135: 287-299 (2016) - [j32]Takanori Sato, Isao Nambu, Kotaro Takeda, Takatsugu Aihara, Okito Yamashita, Yuko Isogaya, Yoshihiro Inoue, Yohei Otaka, Yasuhiro Wada, Mitsuo Kawato, Masa-aki Sato, Rieko Osu:
Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes. NeuroImage 141: 120-132 (2016) - 2015
- [j31]Huu Hoang, Okito Yamashita, Isao T. Tokuda, Masa-aki Sato, Mitsuo Kawato, Keisuke Toyama:
Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics. Frontiers Comput. Neurosci. 9: 56 (2015) - [j30]Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato:
MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks. NeuroImage 105: 408-427 (2015) - [j29]Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato:
Corrigendum to "MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks" [NeuroImage 105 (2015) 408-427]. NeuroImage 109: 529 (2015) - [j28]Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato:
Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography. IEEE Trans. Neural Networks Learn. Syst. 26(5): 1109-1114 (2015) - 2014
- [j27]Okito Yamashita, Takeaki Shimokawa, Takashi Kosaka, Takashi Amita, Yoshihiro Inoue, Masa-aki Sato:
Hierarchical Bayesian Model for Diffuse Optical Tomography of the Human Brain: Human Experimental Study. J. Adv. Comput. Intell. Intell. Informatics 18(6): 1026-1033 (2014) - [j26]Ken-ichi Morishige, Taku Yoshioka, Dai Kawawaki, Nobuo Hiroe, Masa-aki Sato, Mitsuo Kawato:
Estimation of hyper-parameters for a hierarchical model of combined cortical and extra-brain current sources in the MEG inverse problem. NeuroImage 101: 320-336 (2014) - 2013
- [j25]Daniel E. Callan, Cengiz Terzibas, Daniel B. Cassel, Akiko E. Callan, Mitsuo Kawato, Masa-aki Sato:
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 72: 55-68 (2013) - [c26]Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato:
MEG source reconstruction constrained by diffusion MRI based whole brain dynamical model. ISBI 2013: 1002-1005 - 2012
- [j24]Natsue Yoshimura, Charles S. DaSalla, Takashi Hanakawa, Masa-aki Sato, Yasuharu Koike:
Reconstruction of flexor and extensor muscle activities from electroencephalography cortical currents. NeuroImage 59(2): 1324-1337 (2012) - [j23]Takatsugu Aihara, Yusuke Takeda, Kotaro Takeda, Wataru Yasuda, Takanori Sato, Yohei Otaka, Takashi Hanakawa, Manabu Honda, Meigen Liu, Mitsuo Kawato, Masa-aki Sato, Rieko Osu:
Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior. NeuroImage 59(4): 4006-4021 (2012) - [j22]Makoto Fukushima, Okito Yamashita, Atsunori Kanemura, Shin Ishii, Mitsuo Kawato, Masa-aki Sato:
A State-Space Modeling Approach for Localization of Focal Current Sources From MEG. IEEE Trans. Biomed. Eng. 59(6): 1561-1571 (2012) - [c25]Tomoyuki Noda, Norikazu Sugimoto, Jun-ichiro Furukawa, Masa-aki Sato, Sang-Ho Hyon, Jun Morimoto:
Brain-controlled exoskeleton robot for BMI rehabilitation. Humanoids 2012: 21-27 - [c24]Okito Yamashita, Takeaki Shimokawa, Takashi Kosaka, Masa-aki Sato, Takashi Amita, Yoshihiro Inoue:
Hierarchical Bayesian model for diffuse optical tomography of human brains. SCIS&ISIS 2012: 1451-1455 - 2011
- [j21]Junichiro Yoshimoto, Masa-aki Sato, Shin Ishii:
Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method. Intell. Autom. Soft Comput. 17(1): 71-94 (2011) - [j20]Akihiro Toda, Hiroshi Imamizu, Mitsuo Kawato, Masa-aki Sato:
Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods. NeuroImage 54(2): 892-905 (2011) - [c23]Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato:
Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. IJCNN 2011: 1230-1236 - 2010
- [j19]Yusuke Takeda, Masa-aki Sato, Kentaro Yamanaka, Daichi Nozaki, Yoshiharu Yamamoto:
A generalized method to estimate waveforms common across trials from EEGs. NeuroImage 51(2): 629-641 (2010) - [j18]Daniel E. Callan, Akiko E. Callan, Mario Gamez, Masa-aki Sato, Mitsuo Kawato:
Premotor cortex mediates perceptual performance. NeuroImage 51(2): 844-858 (2010) - [c22]Jun Shinozaki, Kaoru Sekiyama, Nobuo Hiroe, Taku Yoshioka, Masa-aki Sato:
Impact of language on audiovisual speech perception examined by fMRI. AVSP 2010: 5-2
2000 – 2009
- 2009
- [j17]Yusuke Fujiwara, Okito Yamashita, Dai Kawawaki, Kenji Doya, Mitsuo Kawato, Keisuke Toyama, Masa-aki Sato:
A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. NeuroImage 45(2): 393-409 (2009) - [j16]Isao Nambu, Rieko Osu, Masa-aki Sato, Soichi Ando, Mitsuo Kawato, Eiichi Naito:
Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS). NeuroImage 47(2): 628-637 (2009) - 2008
- [j15]Taku Yoshioka, Keisuke Toyama, Mitsuo Kawato, Okito Yamashita, Shigeaki Nishina, Noriko Yamagishi, Masa-aki Sato:
Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals. NeuroImage 42(4): 1397-1413 (2008) - [j14]Okito Yamashita, Masa-aki Sato, Taku Yoshioka, Frank Tong, Yukiyasu Kamitani:
Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns. NeuroImage 42(4): 1414-1429 (2008) - [c21]Ken-ichi Morishige, Dai Kawawaki, Taku Yoshioka, Masa-aki Sato, Mitsuo Kawato:
Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources. ICONIP (1) 2008: 336-343 - 2007
- [j13]Yutaka Nakamura, Takeshi Mori, Masa-aki Sato, Shin Ishii:
Reinforcement learning for a biped robot based on a CPG-actor-critic method. Neural Networks 20(6): 723-735 (2007) - [j12]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning a dynamic policy by using policy gradient: application to biped walking. Syst. Comput. Jpn. 38(4): 25-38 (2007) - [c20]Masa-aki Sato, Taku Yoshioka:
Hierarchical Bayesian Inference of Brain Activity. ICONIP (1) 2007: 576-585 - [c19]Akihiro Toda, Hiroshi Imamizu, Masa-aki Sato, Yasuhiro Wada, Mitsuo Kawato:
Reconstruction of Temporal Movement from Single-trial Non-invasive Brain Activity: A Hierarchical Bayesian Method. ICONIP (2) 2007: 1027-1036 - 2006
- [j11]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning CPG-based biped locomotion with a policy gradient method. Robotics Auton. Syst. 54(11): 911-920 (2006) - 2005
- [c18]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning CPG-based biped locomotion with a policy gradient method. Humanoids 2005: 208-213 - [c17]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion. ICRA 2005: 4164-4169 - 2004
- [j10]Masa-aki Sato, Taku Yoshioka, Shigeki Kajihara, Keisuke Toyama, Naokazu Goda, Kenji Doya, Mitsuo Kawato:
Hierarchical Bayesian estimation for MEG inverse problem. NeuroImage 23(3): 806-826 (2004) - [c16]Takeshi Mori, Yutaka Nakamura, Masa-aki Sato, Shin Ishii:
Reinforcement Learning for CPG-Driven Biped Robot. AAAI 2004: 623-630 - 2003
- [j9]Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii:
A Bayesian missing value estimation method for gene expression profile data. Bioinform. 19(16): 2088-2096 (2003) - [j8]Shigeyuki Oba, Masa-aki Sato, Shin Ishii:
Variational Bayes method for Mixture of Principal Component Analyzers. Syst. Comput. Jpn. 34(11): 55-66 (2003) - [c15]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning. ICANN 2003: 123-131 - [c14]Shigeyuki Oba, Masa-aki Sato, Shin Ishii:
Prior Hyperparameters in Bayesian PCA. ICANN 2003: 271-279 - 2002
- [j7]Shin Ishii, Masa-aki Sato:
Doubly constrained network for combinatorial optimization. Neurocomputing 43(1-4): 239-257 (2002) - [c13]Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii:
Missing Value Estimation Using Mixture of PCAs. ICANN 2002: 492-497 - [c12]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. ICANN 2002: 661-666 - [c11]Masa-aki Sato, Shigeyuki Oba:
Incremental Sparse Kernel Machine. ICANN 2002: 700-707 - [c10]Masa-aki Sato, Yutaka Nakamura, Shin Ishii:
Reinforcement Learning for Biped Locomotion. ICANN 2002: 777-782 - 2001
- [j6]Masa-aki Sato:
Online Model Selection Based on the Variational Bayes. Neural Comput. 13(7): 1649-1681 (2001) - [j5]Shin Ishii, Masa-aki Sato:
Reconstruction of chaotic dynamics by on-line EM algorithm. Neural Networks 14(9): 1239-1256 (2001) - [j4]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot. Syst. Comput. Jpn. 32(5): 12-20 (2001) - [c9]Shigeyuki Oba, Masa-aki Sato, Shin Ishii:
On-Line Learning Methods for Gaussian Processes. ICANN 2001: 292-299 - 2000
- [j3]Masa-aki Sato, Shin Ishii:
On-line EM Algorithm for the Normalized Gaussian Network. Neural Comput. 12(2): 407-432 (2000) - [c8]Wako Yoshida, Shin Ishii, Masa-aki Sato:
Reconstruction of chaotic dynamics using a noise-robust embedding method. ICASSP 2000: 181-184 - [c7]Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
On-Line EM Reinforcement Learning. IJCNN (3) 2000: 163-168
1990 – 1999
- 1998
- [j2]Shin Ishii, Masa-aki Sato:
Constrained neural approaches to quadratic assignment problems. Neural Networks 11(6): 1073-1082 (1998) - [c6]Masa-aki Sato, Shin Ishii:
On-Line EM Algorithm for Mixture of Local Experts. ICONIP 1998: 1397-1401 - [c5]Masa-aki Sato, Shin Ishii:
Reinforcement Learning Based on On-Line EM Algorithm. NIPS 1998: 1052-1058 - 1997
- [j1]Shin Ishii, Masa-aki Sato:
Chaotic Potts Spin Model for Combinatorial Optimization Problems. Neural Networks 10(5): 941-963 (1997) - 1994
- [c4]Masahiko Yamauchi, Masa-aki Sato, Takashi Chikayama:
Distributed Pool for Efficient Data Distribution in KL1. Workshop on Design and Impl. of Parallel Logic Programming Systems 1994: 83-92 - 1992
- [c3]Fumihide Itoh, Takashi Chikayama, Takeshi Mori, Masa-aki Sato, Tatsuo Kato, Tadashi Sato:
The Design of the PIMOS File System. FGCS 1992: 278-285 - 1990
- [c2]Masa-aki Sato, Kazuki Joe, Tatsuya Hirahara:
APOLONN brings us to the real world: learning nonlinear dynamics and fluctuations in nature. IJCNN 1990: 581-587 - [c1]Masa-aki Sato:
Rotational invariant formulation for line process. IJCNN 1990: 891-896
Coauthor Index
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