Masa-aki Sato

Publication Activity (10 Years)

Years Active: 1990-2019
Publications (10 Years): 5

Top Topics

Diffuse Optical Tomography

Hierarchical Bayesian

Retinal Ganglion

Top Venues

Frontiers Comput. Neurosci.

J. Adv. Comput. Intell. Intell. Informatics

Publications

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 (2019)
Yusuke Takeda, Takashi Itahashi, Masa-aki Sato, Okito Yamashita
Estimating repetitive spatiotemporal patterns from many subjects' resting-state fMRIs. NeuroImage 203 (2019)
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 (2016)
Yusuke Takeda, Nobuo Hiroe, Okito Yamashita, Masa-aki Sato
Estimating repetitive spatiotemporal patterns from resting-state brain activity data. NeuroImage 133 (2016)
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 (2016)
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 (2015)
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 (2015)
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 (2015)
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) (2015)
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) (2014)
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 (2014)
Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato
MEG source reconstruction constrained by diffusion MRI based whole brain dynamical model. ISBI (2013)
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 (2013)
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) (2012)
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) (2012)
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) (2012)
Tomoyuki Noda, Norikazu Sugimoto, Jun-ichiro Furukawa, Masa-aki Sato, Sang-Ho Hyon, Jun Morimoto
Brain-controlled exoskeleton robot for BMI rehabilitation. Humanoids (2012)
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)
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato
Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. IJCNN (2011)
Junichiro Yoshimoto, Masa-aki Sato, Shin Ishii
Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method. Intell. Autom. Soft Comput. 17 (1) (2011)
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) (2011)
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) (2010)
Daniel E. Callan, Akiko E. Callan, Mario Gamez, Masa-aki Sato, Mitsuo Kawato
Premotor cortex mediates perceptual performance. NeuroImage 51 (2) (2010)
Jun Shinozaki, Kaoru Sekiyama, Nobuo Hiroe, Taku Yoshioka, Masa-aki Sato
Impact of language on audiovisual speech perception examined by fMRI. AVSP (2010)
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) (2009)
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) (2009)
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) (2008)
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)
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) (2008)
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)
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) (2007)
Masa-aki Sato, Taku Yoshioka
Hierarchical Bayesian Inference of Brain Activity. ICONIP (1) (2007)
Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
Learning a dynamic policy by using policy gradient: application to biped walking. Systems and Computers in Japan 38 (4) (2007)
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) (2006)
Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
Learning CPG-based biped locomotion with a policy gradient method. Humanoids (2005)
Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion. ICRA (2005)
Takeshi Mori, Yutaka Nakamura, Masa-aki Sato, Shin Ishii
Reinforcement Learning for CPG-Driven Biped Robot. AAAI (2004)
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) (2004)
Shigeyuki Oba, Masa-aki Sato, Shin Ishii
Prior Hyperparameters in Bayesian PCA. ICANN (2003)
Shigeyuki Oba, Masa-aki Sato, Shin Ishii
Variational Bayes method for Mixture of Principal Component Analyzers. Systems and Computers in Japan 34 (11) (2003)
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) (2003)
Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning. ICANN (2003)
Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii
Missing Value Estimation Using Mixture of PCAs. ICANN (2002)
Masa-aki Sato, Shigeyuki Oba
Incremental Sparse Kernel Machine. ICANN (2002)
Shin Ishii, Masa-aki Sato
Doubly constrained network for combinatorial optimization. Neurocomputing 43 (1-4) (2002)
Masa-aki Sato, Yutaka Nakamura, Shin Ishii
Reinforcement Learning for Biped Locomotion. ICANN (2002)
Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. ICANN (2002)
Shigeyuki Oba, Masa-aki Sato, Shin Ishii
On-Line Learning Methods for Gaussian Processes. ICANN (2001)
Shin Ishii, Masa-aki Sato
Reconstruction of chaotic dynamics by on-line EM algorithm. Neural Networks 14 (9) (2001)
Masa-aki Sato
Online Model Selection Based on the Variational Bayes. Neural Comput. 13 (7) (2001)
Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot. Systems and Computers in Japan 32 (5) (2001)
Masa-aki Sato, Shin Ishii
On-line EM Algorithm for the Normalized Gaussian Network. Neural Comput. 12 (2) (2000)
Wako Yoshida, Shin Ishii, Masa-aki Sato
Reconstruction of chaotic dynamics using a noise-robust embedding method. ICASSP (2000)
Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato
On-Line EM Reinforcement Learning. IJCNN (3) (2000)
Masa-aki Sato, Shin Ishii
On-Line EM Algorithm for Mixture of Local Experts. ICONIP (1998)
Masa-aki Sato, Shin Ishii
Reinforcement Learning Based on On-Line EM Algorithm. NIPS (1998)
Shin Ishii, Masa-aki Sato
Constrained neural approaches to quadratic assignment problems. Neural Networks 11 (6) (1998)
Shin Ishii, Masa-aki Sato
Chaotic Potts Spin Model for Combinatorial Optimization Problems. Neural Networks 10 (5) (1997)
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)
Fumihide Itoh, Takashi Chikayama, Takeshi Mori, Masa-aki Sato, Tatsuo Kato, Tadashi Sato
The Design of the PIMOS File System. FGCS (1992)
Masa-aki Sato, Kazuki Joe, Tatsuya Hirahara
APOLONN brings us to the real world: learning nonlinear dynamics and fluctuations in nature. IJCNN (1990)
Masa-aki Sato
Rotational invariant formulation for line process. IJCNN (1990)