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Isao Nambu
Isao Nambu
Verified email at vos.nagaokaut.ac.jp
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Cited by
Year
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
1452016
Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS)
I Nambu, R Osu, M Sato, S Ando, M Kawato, E Naito
Neuroimage 47 (2), 628-637, 2009
502009
EEG channel selection using particle swarm optimization for the classification of auditory event-related potentials
A Gonzalez, I Nambu, H Hokari, Y Wada
The Scientific World Journal 2014, 2014
452014
Estimating the intended sound direction of the user: toward an auditory brain-computer interface using out-of-head sound localization
I Nambu, M Ebisawa, M Kogure, S Yano, H Hokari, Y Wada
PloS one 8 (2), e57174, 2013
402013
Decoding sequential finger movements from preparatory activity in higher‐order motor regions: a functional magnetic resonance imaging multi‐voxel pattern analysis
I Nambu, N Hagura, S Hirose, Y Wada, M Kawato, E Naito
European Journal of Neuroscience 42 (10), 2851-2859, 2015
382015
fNIRS-GANs: data augmentation using generative adversarial networks for classifying motor tasks from functional near-infrared spectroscopy
T Nagasawa, T Sato, I Nambu, Y Wada
Journal of Neural Engineering 17 (1), 016068, 2020
302020
Convolutional neural networks with 3D input for P300 identification in auditory brain-computer interfaces
E Carabez, M Sugi, I Nambu, Y Wada
Computational intelligence and neuroscience 2017, 2017
232017
Explanation of Fitts’ law in reaching movement based on human arm dynamics
M Takeda, T Sato, H Saito, H Iwasaki, I Nambu, Y Wada
Scientific Reports 9 (1), 19804, 2019
222019
Cortical activation associated with motor preparation can be used to predict the freely chosen effector of an upcoming movement and reflects response time: An fMRI decoding study
S Hirose, I Nambu, E Naito
Neuroimage 183, 584-596, 2018
222018
An empirical solution for over-pruning with a novel ensemble-learning method for fMRI decoding
S Hirose, I Nambu, E Naito
Journal of neuroscience methods 239, 238-245, 2015
212015
Sliding-window normalization to improve the performance of machine-learning models for real-time motion prediction using electromyography
T Tanaka, I Nambu, Y Maruyama, Y Wada
Sensors 22 (13), 5005, 2022
202022
Improving the performance of an auditory brain-computer interface using virtual sound sources by shortening stimulus onset asynchrony
M Sugi, Y Hagimoto, I Nambu, A Gonzalez, Y Takei, S Yano, H Hokari, ...
Frontiers in neuroscience 12, 108, 2018
182018
Prediction of individual finger movements for motor execution and imagery: An EEG study
T Hayashi, H Yokoyama, I Nambu, Y Wada
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
142017
Identifying single trial event-related potentials in an earphone-based auditory brain-computer interface
E Carabez, M Sugi, I Nambu, Y Wada
Applied Sciences 7 (11), 1197, 2017
112017
Transient increase in systemic interferences in the superficial layer and its influence on event-related motor tasks: a functional near-infrared spectroscopy study
I Nambu, T Ozawa, T Sato, T Aihara, Y Fujiwara, Y Otaka, R Osu, J Izawa, ...
Journal of biomedical optics 22 (3), 035008-035008, 2017
112017
Improving human plateaued motor skill with somatic stimulation
S Uehara, I Nambu, S Tomatsu, J Lee, S Kakei, E Naito
PLoS One 6 (10), e25670, 2011
112011
Towards the classification of single-trial event-related potentials using adapted wavelets and particle swarm optimization
A Gonzalez, I Nambu, H Hokari, M Iwahashi, Y Wada
2013 IEEE International Conference on Systems, Man, and Cybernetics, 3089-3094, 2013
102013
Improving fNIRS-BCI accuracy using GAN-based data augmentation
T Nagasawa, T Sato, I Nambu, Y Wada
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER …, 2019
92019
The adjustment of muscle synergy recruitment by controlling muscle contraction during the reaching movement
HVN Sy, I Nambu, Y Wada
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
72016
Estimating brain activity of motor learning by using fNIRS-GLM analysis
T Imai, T Sato, I Nambu, Y Wada
Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012
72012
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Articles 1–20