Visual image reconstruction from human brain activity using a combination of multiscale local image decoders Y Miyawaki, H Uchida, O Yamashita, M Sato, Y Morito, HC Tanabe, ... Neuron 60 (5), 915-929, 2008 | 522 | 2008 |
Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns O Yamashita, M Sato, T Yoshioka, F Tong, Y Kamitani NeuroImage 42 (4), 1414-1429, 2008 | 343 | 2008 |
A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering A Galka, O Yamashita, T Ozaki, R Biscay, P Valdés-Sosa NeuroImage 23 (2), 435-453, 2004 | 167 | 2004 |
Regulation of motor representation by phase–amplitude coupling in the sensorimotor cortex T Yanagisawa, O Yamashita, M Hirata, H Kishima, Y Saitoh, T Goto, ... Journal of Neuroscience 32 (44), 15467-15475, 2012 | 101 | 2012 |
Recursive penalized least squares solution for dynamical inverse problems of EEG generation O Yamashita, A Galka, T Ozaki, R Biscay, P Valdes‐Sosa Human brain mapping 21 (4), 221-235, 2004 | 92 | 2004 |
Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes T Sato, I Nambu, K Takeda, T Aihara, O Yamashita, Y Isogaya, Y Inoue, ... NeuroImage 141, 120-132, 2016 | 70 | 2016 |
Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals T Yoshioka, K Toyama, M Kawato, O Yamashita, S Nishina, N Yamagishi, ... Neuroimage 42 (4), 1397-1413, 2008 | 65 | 2008 |
Modelling non-stationary variance in EEG time series by state space GARCH model KFK Wong, A Galka, O Yamashita, T Ozaki Computers in biology and medicine 36 (12), 1327-1335, 2006 | 62 | 2006 |
The effects of feature attention on prestimulus cortical activity in the human visual system K Shibata, N Yamagishi, N Goda, T Yoshioka, O Yamashita, M Sato, ... Cerebral Cortex 18 (7), 1664-1675, 2008 | 46 | 2008 |
MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks M Fukushima, O Yamashita, TR Knösche, M Sato NeuroImage 105, 408-427, 2015 | 43 | 2015 |
Evaluating frequency-wise directed connectivity of BOLD signals applying relative power contribution with the linear multivariate time-series models O Yamashita, N Sadato, T Okada, T Ozaki Neuroimage 25 (2), 478-490, 2005 | 41 | 2005 |
fMRI activation maps based on the NN-ARx model J Riera, J Bosch, O Yamashita, R Kawashima, N Sadato, T Okada, ... Neuroimage 23 (2), 680-697, 2004 | 40 | 2004 |
Hierarchical Bayesian estimation improves depth accuracy and spatial resolution of diffuse optical tomography T Shimokawa, T Kosaka, O Yamashita, N Hiroe, T Amita, Y Inoue, M Sato Optics express 20 (18), 20427-20446, 2012 | 34 | 2012 |
Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias A Yamashita, N Yahata, T Itahashi, G Lisi, T Yamada, N Ichikawa, ... PLoS biology 17 (4), e3000042, 2019 | 33 | 2019 |
GARCH modelling of covariance in dynamical estimation of inverse solutions A Galka, O Yamashita, T Ozaki Physics Letters A 333 (3-4), 261-268, 2004 | 30 | 2004 |
A state-space modeling approach for localization of focal current sources from MEG M Fukushima, O Yamashita, A Kanemura, S Ishii, M Kawato, M Sato IEEE transactions on biomedical engineering 59 (6), 1561-1571, 2012 | 26 | 2012 |
Large-scale brain network associated with creative insight: combined voxel-based morphometry and resting-state functional connectivity analyses T Ogawa, T Aihara, T Shimokawa, O Yamashita Scientific reports 8 (1), 1-11, 2018 | 24 | 2018 |
Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm O Yamashita, T Shimokawa, R Aisu, T Amita, Y Inoue, M Sato Neuroimage 135, 287-299, 2016 | 17 | 2016 |
Extended hierarchical Bayesian diffuse optical tomography for removing scalp artifact T Shimokawa, T Kosaka, O Yamashita, N Hiroe, T Amita, Y Inoue, M Sato Biomedical optics express 4 (11), 2411-2432, 2013 | 14 | 2013 |
A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts Y Fujiwara, O Yamashita, D Kawawaki, K Doya, M Kawato, K Toyama, ... NeuroImage 45 (2), 393-409, 2009 | 14 | 2009 |