Okito Yamashita
Orcid: 0000-0002-6039-3657
According to our database1,
Okito Yamashita
authored at least 29 papers
between 2004 and 2023.
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Bibliography
2023
Sensor array design of optically pumped magnetometers for accurately estimating source currents.
NeuroImage, August, 2023
Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis.
Neural Networks, 2023
Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition.
CoRR, 2023
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
NeuroImage, 2022
2021
Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization.
Neural Networks, 2021
NeuroImage, 2021
2020
CoRR, 2020
Reconstructing Temporal Dynamics of fMRI Time Series via Encoded Contextual Information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Estimating repetitive spatiotemporal patterns from many subjects' resting-state fMRIs.
NeuroImage, 2019
Evaluation of Resting Spatio-Temporal Dynamics of a Neural Mass Model Using Resting fMRI Connectivity and EEG Microstates.
Frontiers Comput. Neurosci., 2019
2016
Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm.
NeuroImage, 2016
Estimating repetitive spatiotemporal patterns from resting-state brain activity data.
NeuroImage, 2016
Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes.
NeuroImage, 2016
2015
Corrigendum to "MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks" [NeuroImage 105 (2015) 408-427].
NeuroImage, 2015
MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks.
NeuroImage, 2015
Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics.
Frontiers Comput. Neurosci., 2015
2014
Hierarchical Bayesian Model for Diffuse Optical Tomography of the Human Brain: Human Experimental Study.
J. Adv. Comput. Intell. Intell. Informatics, 2014
2013
MEG source reconstruction constrained by diffusion MRI based whole brain dynamical model.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
IEEE Trans. Biomed. Eng., 2012
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012
2009
A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts.
NeuroImage, 2009
2008
Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.
NeuroImage, 2008
Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns.
NeuroImage, 2008
2006
Comput. Biol. Medicine, 2006
2005
Evaluating frequency-wise directed connectivity of BOLD signals applying relative power contribution with the linear multivariate time-series models.
NeuroImage, 2005
2004
A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering.
NeuroImage, 2004