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Yusuke Takeda
Yusuke Takeda
ATR Neural Information Analysis Laboratories
Verified email at atr.jp - Homepage
Title
Cited by
Cited by
Year
Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior
T Aihara, Y Takeda, K Takeda, W Yasuda, T Sato, Y Otaka, T Hanakawa, ...
Neuroimage 59 (4), 4006-4021, 2012
512012
Temporal decomposition of EEG during a simple reaction time task into stimulus-and response-locked components
Y Takeda, K Yamanaka, Y Yamamoto
NeuroImage 39 (2), 742-754, 2008
352008
Brain information output apparatus, robot, and brain information output method
M Sato, T Tamagawa, O Yamashita, Y Takeda, M Kawato, K Yamada, ...
US Patent 8,868,174, 2014
202014
Estimating repetitive spatiotemporal patterns from resting-state brain activity data
Y Takeda, N Hiroe, O Yamashita, M Sato
Neuroimage 133, 251-265, 2016
172016
MEG source imaging and group analysis using VBMEG
Y Takeda, K Suzuki, M Kawato, O Yamashita
Frontiers in Neuroscience 13, 241, 2019
162019
A generalized method to estimate waveforms common across trials from EEGs
Y Takeda, M Sato, K Yamanaka, D Nozaki, Y Yamamoto
NeuroImage 51 (2), 629-641, 2010
132010
Whole-brain propagating patterns in human resting-state brain activities
Y Takeda, N Hiroe, O Yamashita
NeuroImage 245, 118711, 2021
62021
Estimating repetitive spatiotemporal patterns from many subjects’ resting-state fMRIs
Y Takeda, T Itahashi, M Sato, O Yamashita
Neuroimage 203, 116182, 2019
52019
Extracting a stimulus-unlocked component from EEG during NoGo trials of a Go/NoGo task
Y Takeda, K Yamanaka, D Nozaki, Y Yamamoto
NeuroImage 41 (3), 777-788, 2008
52008
Revealing time-unlocked brain activity from MEG measurements by common waveform estimation
Y Takeda, K Yamanaka, N Yamagishi, M Sato
Plos one 9 (5), e98014, 2014
42014
Sensor array design of optically pumped magnetometers for accurately estimating source currents
Y Takeda, T Gomi, R Umebayashi, S Tomita, K Suzuki, N Hiroe, ...
NeuroImage 277, 120257, 2023
32023
Brain Machine Interface Technology Enabling Control of Machine by Human Thought Alone
T OKABE, K YAMADA, M KIMURA, A TODA, M SATO, O YAMASHITA, ...
Honda R&D Technical Review 22 (2), 91-98, 2010
22010
Feature selection for brain activity data on cortex–time–frequency space
T Yoshioka, O Yamashita, Y Takeda, D Callan, M Sato
Neuroscience Research 71, e305, 2011
12011
Estimating waveforms common across trials from MEG data in various stimulus–response tasks
Y Takeda, K Yamanaka, N Yamagishi, M Sato
Neuroscience Research, e209, 2011
2011
EEG current source estimation with NIRS as a hierarchical prior
T Aihara, Y Takeda, K Takeda, W Yasuda, T Sato, Y Otaka, T Hanakawa, ...
Neuroscience Research, e305, 2011
2011
Effectiveness of hierarchical Bayesian source current estimation on EEG-based brain-computer interfaces
Y Takeda, O Yamashita, N Hiroe, M Sato
Neuroscience Research, e214, 2010
2010
A EEG-based real-time motor imaginary training system for brain-machine interface (BMI)
K Choi, Y Takeda, M Sato
Neuroscience Research, e214, 2010
2010
Generalization of the methods for extracting stimulus-locked and-unlocked EEG components
Y Takeda, M Sato, K Yamanaka, D Nozaki, Y Yamamoto
IEICE Technical Report; IEICE Tech. Rep. 108 (480), 371-374, 2009
2009
Generalization of the method to estimate EEG waveforms common across trials
Y Takeda, M Sato, K Yamanaka, D Nozaki, Y Yamamoto
Neuroscience Research, S129-S130, 2009
2009
Supplementary material for “Whole-brain propagating patterns in human resting-state brain activities”
Y Takeda, N Hiroe, O Yamashita
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Articles 1–20