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Ken Nakae
Ken Nakae
Exploratory Research Center on Life and Living Systems, National Institutes of Natural Science
Verified email at nips.ac.jp
Title
Cited by
Cited by
Year
Distributional smoothing with virtual adversarial training
T Miyato, S Maeda, M Koyama, K Nakae, S Ishii
arXiv preprint arXiv:1507.00677, 2015
5722015
Deep learning of fMRI big data: a novel approach to subject-transfer decoding
S Koyamada, Y Shikauchi, K Nakae, M Koyama, S Ishii
arXiv preprint arXiv:1502.00093, 2015
812015
Semi-supervised deep learning of brain tissue segmentation
R Ito, K Nakae, J Hata, H Okano, S Ishii
Neural Networks 116, 25-34, 2019
772019
Local and long-distance organization of prefrontal cortex circuits in the marmoset brain
A Watakabe, H Skibbe, K Nakae, H Abe, N Ichinohe, MF Rachmadi, ...
Neuron 111 (14), 2258-2273. e10, 2023
272023
Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference
CE Gutierrez, H Skibbe, K Nakae, H Tsukada, J Lienard, A Watakabe, ...
Scientific reports 10 (1), 21285, 2020
212020
Bayesian estimation of phase response curves
K Nakae, Y Iba, Y Tsubo, T Fukai, T Aoyagi
Neural networks 23 (6), 752-763, 2010
212010
PAT—Probabilistic axon tracking for densely labeled neurons in large 3-D micrographs
H Skibbe, M Reisert, K Nakae, A Watakabe, J Hata, H Mizukami, H Okano, ...
IEEE transactions on medical imaging 38 (1), 69-78, 2018
192018
Model-based prediction of spatial gene expression via generative linear mapping
Y Okochi, S Sakaguchi, K Nakae, T Kondo, H Naoki
Nature Communications 12 (1), 3731, 2021
182021
Uncertainty-dependent extinction of fear memory in an amygdala-mPFC neural circuit model
Y Li, K Nakae, S Ishii, H Naoki
PLoS computational biology 12 (9), e1005099, 2016
172016
A statistical method of identifying interactions in neuron–glia systems based on functional multicell Ca2+ imaging
K Nakae, Y Ikegaya, T Ishikawa, S Oba, H Urakubo, M Koyama, S Ishii
PLoS computational biology 10 (11), e1003949, 2014
152014
Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range
J Hata, K Nakae, H Tsukada, A Woodward, Y Haga, M Iida, A Uematsu, ...
Scientific Data 10 (1), 221, 2023
132023
The Brain/MINDS Marmoset Connectivity Resource: An open-access platform for cellular-level tracing and tractography in the primate brain
H Skibbe, MF Rachmadi, K Nakae, CE Gutierrez, J Hata, H Tsukada, ...
PLoS biology 21 (6), e3002158, 2023
122023
The NanoZoomer artificial intelligence connectomics pipeline for tracer injection studies of the marmoset brain
A Woodward, R Gong, H Abe, K Nakae, J Hata, H Skibbe, Y Yamaguchi, ...
Brain Structure and Function 225, 1225-1243, 2020
122020
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography
H Skibbe, A Watakabe, K Nakae, CE Gutierrez, H Tsukada, J Hata, ...
arXiv preprint arXiv:1908.00876, 2019
122019
Principal sensitivity analysis
S Koyamada, M Koyama, K Nakae, S Ishii
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 621-632, 2015
102015
Zero-shot fMRI decoding with three-dimensional registration based on diffusion tensor imaging
T Fuchigami, Y Shikauchi, K Nakae, M Shikauchi, T Ogawa, S Ishii
Scientific Reports 8 (1), 12342, 2018
82018
System level analysis of motor-related neural activities in larval Drosophila
Y Yoon, J Park, A Taniguchi, H Kohsaka, K Nakae, S Nonaka, S Ishii, ...
Journal of Neurogenetics 33 (3), 179-189, 2019
72019
The Brain/MINDS Marmoset Connectivity Atlas: exploring bidirectional tracing and tractography in the same stereotaxic space
H Skibbe, MF Rachmadi, K Nakae, CE Gutierrez, J Hata, H Tsukada, ...
bioRxiv, 2022.06. 06.494999, 2022
62022
Empirical Bayesian significance measure of neuronal spike response
S Oba, K Nakae, Y Ikegaya, S Aki, J Yoshimoto, S Ishii
BMC neuroscience 17, 1-21, 2016
42016
Connectional architecture of the prefrontal cortex in the marmoset brain
A Watakabe, H Skibbe, K Nakae, H Abe, N Ichinohe, J Wang, M Takaji, ...
bioRxiv, 2021, 2021
32021
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