494 results on '"Sato, Masa-aki"'
Search Results
2. Estimating repetitive spatiotemporal patterns from many subjects’ resting-state fMRIs
3. Improved hyperacuity estimation of spike timing from calcium imaging
4. Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes
5. Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm
6. Estimating repetitive spatiotemporal patterns from resting-state brain activity data
7. A reinforcement learning for continuous systems
8. MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks
9. Estimation of hyper-parameters for a hierarchical model of combined cortical and extra-brain current sources in the MEG inverse problem
10. Reconstruction of intracortical whisker-evoked local field potential from electrocorticogram using a model trained for spontaneous activity in the rat barrel cortex
11. Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources
12. Reconstruction of Temporal Movement from Single-trial Non-invasive Brain Activity: A Hierarchical Bayesian Method
13. Hierarchical Bayesian Inference of Brain Activity
14. 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
15. Prior Hyperparameters in Bayesian PCA
16. System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning
17. Reinforcement Learning for Biped Locomotion
18. Incremental Sparse Kernel Machine
19. Missing Value Estimation Using Mixture of PCAs
20. Hierarchical Model Selection for NGnet Based on Variational Bayes Inference
21. On-Line Learning Methods for Gaussian Processes
22. Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior
23. Reconstruction of flexor and extensor muscle activities from electroencephalography cortical currents
24. On-line EM Algorithm and Reinforcement Learning
25. Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods
26. Premotor cortex mediates perceptual performance
27. A generalized method to estimate waveforms common across trials from EEGs
28. Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS)
29. A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts
30. Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals
31. Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns
32. Visual Image Reconstruction from Human Brain Activity using a Combination of Multiscale Local Image Decoders
33. Reinforcement learning for a biped robot based on a CPG-actor-critic method
34. Learning CPG-based biped locomotion with a policy gradient method
35. Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources
36. Preparation of a flexible organic–inorganic hybrid proton-conducting membrane for non-humidified conditions
37. The Effects of Feature Attention on Prestimulus Cortical Activity in the Human Visual System
38. Prior Hyperparameters in Bayesian PCA
39. System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning
40. Missing Value Estimation Using Mixture of PCAs
41. Incremental Sparse Kernel Machine
42. Hierarchical Model Selection for NGnet Based on Variational Bayes Inference
43. Reinforcement Learning for Biped Locomotion
44. On-Line Learning Methods for Gaussian Processes
45. Hierarchical Bayesian estimation for MEG inverse problem
46. Local recurrence after radical cystectomy for invasive bladder cancer: An analysis of predictive factors
47. A Bayesian missing value estimation method for gene expression profile data
48. Cell proliferation, apoptosis, angiogenesis and growth rate of incidentally found renal cell carcinoma
49. A real time learning algorithm for recurrent analog neural networks
50. A learning algorithm to teach spatiotemporal patterns to recurrent neural networks
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