ジャーナル論文 / Journal
  1. Yamaya, N., Ikeda, S., Hoshino, Y., Takeuchi, H., and Kawashima, R., "Temporal Changes in the State Effect of Meditation on Response Inhibition Processes", Mindfulness, (2023).
  2. Takeda, Y., Gomi, T., Umebayashi, R., Tomita, S., Suzuki, K., Hiroe, N., Saikawa, J., Munaka, T., and Yamashita, O., "Sensor array design of optically pumped magnetometers for accurately estimating source currents", Neuroimage 277, 120257, (2023).
  3. Nakamura, Y., Ishida, T., Tanaka, S. C., Mitsuyama, Y., Yokoyama, S., Shinzato, H., Itai, E., Okada, G., Kobayashi, Y., Kawashima, T., Miyata, J., Yoshihara, Y., Takahashi, H., Aoki, R., Nakamura, M., Ota, H., Itahashi, T., Morita, S., Kawakami, S., Abe, O., Okada, N., Kunimatsu, A., Yamashita, A., Yamashita, O., Imamizu, H., Morimoto, J., Okamoto, Y., Murai, T., Hashimoto, R., Kasai, K., Kawato, M., and Koike, S., "Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders", Psychiatry Clin. Neurosci., (2023).
  4. Morioka, H., "Discussion of “Identifiability of latent-variable and structural-equation models: from linear to nonlinear”", Ann. Inst. Statist. Math. 76(1), 35–37, (2023).
  5. Ishida, T., Nakamura, Y., Tanaka, S. C., Mitsuyama, Y., Yokoyama, S., Shinzato, H., Itai, E., Okada, G., Kobayashi, Y., Kawashima, T., Miyata, J., Yoshihara, Y., Takahashi, H., Morita, S., Kawakami, S., Abe, O., Okada, N., Kunimatsu, A., Yamashita, A., Yamashita, O., Imamizu, H., Morimoto, J., Okamoto, Y., Murai, T., Kasai, K., Kawato, M., and Koike, S., "Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets.", Schizophr. Bull., (2023).
  6. Hyvärinen, A., Khemakhem, I., and Morioka, H., "Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning", Patterns 4(10), 100844, (2023).
  7. Bai, W., Yamashita, O., and Yoshimoto, J., "Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis", Neural Netw. 163, 327–340, (2023).
  8. Ikeda, S., Kawano, K., Watanabe, S., Yamashita, O., and Kawahara, Y., "Predicting Behavior through Dynamic Modes in Resting-state fMRI Data. Neuroimage", Neuroimage 247, (2022).
  9. Tokuda, T., Yamashita, O., and Yoshimoto, J., "Multiple Clustering for Identifying Subject Clusters and Brain Sub-networks using Functional Connectivity Matrices without Vectorization", Neural Netw., (2021).
  10. Tokuda, T., Yamashita, O., Sakai, Y., and Yoshimoto, J., "Clustering of Multiple Psychiatric Disorders using Functional Connectivity in the Data-driven Brain Subnetwork", Front. Psychiatry, (2021).
  11. Takeda, Y., Hiroe, N., and Yamashita, O., "Whole-brain propagating patterns in human resting-state brain activities", Neuroimage 245, 118711, (2021).
  12. Hayashi, R., Yamashita, O., Yamada, T., Kawaguchi, H., and Higo , N., "Diffuse Optical Tomography Using fNIRS Signals Measured from the Skull Surface of the Macaque Monkey", Cereb. Cortex Commun. 3(1), (2021).
国際会議 / Proceedings
  1. Morioka, H., and Hyvärinen, A., "Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data", The 26th International Conference on Artificial Intelligence and Statistics (AISTATS2023), (2023).
  2. Kobler, R., Hirayama, J., Zhao, Q., and Kawanabe, M., "Spd domain-specific batch normalization to crack interpretable unsupervised domain adaptation in eeg", 36th Conference on Neural Information Processing Systems (NeurIPS 2022), (2022).