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Okito Yamashita
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2020 – today
- 2025
- [j25]Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike, Okito Yamashita:
Sparse Bayesian correntropy learning for robust muscle activity reconstruction from noisy brain recordings. Neural Networks 182: 106899 (2025) - 2024
- [j24]Takehiro Ajioka, Nobuhiro Nakai, Okito Yamashita, Toru Takumi:
End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging. PLoS Comput. Biol. 20(3): 1011074 (2024) - [i5]Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike, Okito Yamashita:
Sparse Bayesian Correntropy Learning for Robust Muscle Activity Reconstruction from Noisy Brain Recordings. CoRR abs/2404.15309 (2024) - [i4]Yuanhao Li, Badong Chen, Zhongxu Hu, Keita Suzuki, Wenjun Bai, Yasuharu Koike, Okito Yamashita:
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging. CoRR abs/2408.14843 (2024) - 2023
- [j23]Yusuke Takeda, Tomohiro Gomi, Ryu Umebayashi, Sadamu Tomita, Keita Suzuki, Nobuo Hiroe, Jiro Saikawa, Tatsuya Munaka, Okito Yamashita:
Sensor array design of optically pumped magnetometers for accurately estimating source currents. NeuroImage 277: 120257 (2023) - [j22]Wenjun Bai, Okito Yamashita, Junichiro Yoshimoto:
Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis. Neural Networks 163: 327-340 (2023) - [c4]Yuanhao Li, Badong Chen, Okito Yamashita, Natsue Yoshimura, Yasuharu Koike:
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination. IJCNN 2023: 1-8 - [i3]Yuanhao Li, Badong Chen, Okito Yamashita, Natsue Yoshimura, Yasuharu Koike:
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination. CoRR abs/2302.00082 (2023) - [i2]Ryohei Fukuma, Kei Majima, Yoshinobu Kawahara, Okito Yamashita, Yoshiyuki Shiraishi, Haruhiko Kishima, Takufumi Yanagisawa:
Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition. CoRR abs/2311.04225 (2023) - 2022
- [j21]Shigeyuki Ikeda, Koki Kawano, Soichi Watanabe, Okito Yamashita, Yoshinobu Kawahara:
Predicting behavior through dynamic modes in resting-state fMRI data. NeuroImage 247: 118801 (2022) - 2021
- [j20]Keita Suzuki, Okito Yamashita:
MEG current source reconstruction using a meta-analysis fMRI prior. NeuroImage 236: 118034 (2021) - [j19]Yusuke Takeda, Nobuo Hiroe, Okito Yamashita:
Whole-brain propagating patterns in human resting-state brain activities. NeuroImage 245: 118711 (2021) - [j18]Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto:
Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization. Neural Networks 142: 269-287 (2021) - 2020
- [c3]Wenjun Bai, Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto:
Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information. BIBM 2020: 968-971 - [i1]Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto:
Multiple-view clustering for correlation matrices based on Wishart mixture model. CoRR abs/2010.09941 (2020)
2010 – 2019
- 2019
- [j17]Hidenori Endo, Nobuo Hiroe, Okito Yamashita:
Evaluation of Resting Spatio-Temporal Dynamics of a Neural Mass Model Using Resting fMRI Connectivity and EEG Microstates. Frontiers Comput. Neurosci. 13: 91 (2019) - [j16]Yusuke Takeda, Takashi Itahashi, Masa-aki Sato, Okito Yamashita:
Estimating repetitive spatiotemporal patterns from many subjects' resting-state fMRIs. NeuroImage 203 (2019) - 2016
- [j15]Yusuke Takeda, Nobuo Hiroe, Okito Yamashita, Masa-aki Sato:
Estimating repetitive spatiotemporal patterns from resting-state brain activity data. NeuroImage 133: 251-265 (2016) - [j14]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) - [j13]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
- [j12]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) - [j11]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) - [j10]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) - 2014
- [j9]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) - 2013
- [c2]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
- [j8]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) - [c1]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
2000 – 2009
- 2009
- [j7]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) - 2008
- [j6]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) - [j5]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) - 2006
- [j4]Kin Foon Kevin Wong, Andreas Galka, Okito Yamashita, Tohru Ozaki:
Modelling non-stationary variance in EEG time series by state space GARCH model. Comput. Biol. Medicine 36(12): 1327-1335 (2006) - 2005
- [j3]Okito Yamashita, Norihiro Sadato, Tomohisa Okada, Tohru Ozaki:
Evaluating frequency-wise directed connectivity of BOLD signals applying relative power contribution with the linear multivariate time-series models. NeuroImage 25(2): 478-490 (2005) - 2004
- [j2]Andreas Galka, Okito Yamashita, Tohru Ozaki, Rolando J. Biscay, Pedro A. Valdés-Sosa:
A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering. NeuroImage 23(2): 435-453 (2004) - [j1]Jorge J. Riera, Jorge Bosch, Okito Yamashita, Ryuta Kawashima, Norihiro Sadato, Tomohisa Okada, Tohru Ozaki:
fMRI activation maps based on the NN-ARx model. NeuroImage 23(2): 680-697 (2004)
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