Distributional smoothing with virtual adversarial training T Miyato, S Maeda, M Koyama, K Nakae, S Ishii arXiv preprint arXiv:1507.00677, 2015 | 569 | 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 | 80 | 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 | 73 | 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 | 24 | 2023 |
Bayesian estimation of phase response curves K Nakae, Y Iba, Y Tsubo, T Fukai, T Aoyagi Neural networks 23 (6), 752-763, 2010 | 21 | 2010 |
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 | 19 | 2020 |
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 | 18 | 2018 |
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 | 17 | 2021 |
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 | 17 | 2016 |
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 | 15 | 2014 |
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 | 13 | 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 | 12 | 2020 |
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 | 12 | 2019 |
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 | 10 | 2023 |
Principal sensitivity analysis S Koyamada, M Koyama, K Nakae, S Ishii Pacific-Asia Conference on Knowledge Discovery and Data Mining, 621-632, 2015 | 10 | 2015 |
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 | 8 | 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 | 6 | 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 | 5 | 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 | 4 | 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 | 3 | 2021 |