Ken Nakae
Ken Nakae
Exploratory Research Center on Life and Living Systems, National Institutes of Natural Science
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Cited by
Cited by
Distributional smoothing with virtual adversarial training
T Miyato, S Maeda, M Koyama, K Nakae, S Ishii
arXiv preprint arXiv:1507.00677, 2015
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
Semi-supervised deep learning of brain tissue segmentation
R Ito, K Nakae, J Hata, H Okano, S Ishii
Neural Networks 116, 25-34, 2019
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
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
Bayesian estimation of phase response curves
K Nakae, Y Iba, Y Tsubo, T Fukai, T Aoyagi
Neural Networks 23 (6), 752-763, 2010
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
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
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
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
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
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
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
Principal sensitivity analysis
S Koyamada, M Koyama, K Nakae, S Ishii
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 621-632, 2015
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
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
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
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
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
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
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