Morioka, H., Calhoun, V., Hyvärinen, A. Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits. NeuroImage. Vol. 218, pp. 116989, 2020.
Morioka, H., Kanemura, A., Hirayama, J., Shikauchi, M., Ogawa, T., Ikeda, S., Kawanabe, M., Ishii, S. Learning a common dictionary for subject-transfer decoding with resting calibration. NeuroImage. Vol. 111, pp. 167—178, 2015. [code]
Morioka, H., Kanemura, A., Morimoto, S., Yoshioka, T., Oba, S., Kawanabe, M., and Ishii, S. Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information. NeuroImage. Vol. 90, pp. 128—139, 2014.
Morioka, H. and Hyvärinen, A. Causal Representation Learning Made Identifiable by Grouping of Observational Variables. ICML 2024.
Morioka, H. and Hyvärinen, A. Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data. AISTATS 2023.
Morioka, H., Hälvä, H., and Hyvärinen, A. Independent innovation analysis for nonlinear vector autoregressive process. AISTATS 2021.
Morioka, H., Calhoun, V., and Hyvärinen, A. Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning. 2018 OHBM Annual Meeting. Singapore, June 2018.
Nishimoto, T., Azuma, Y., Morioka, H., and Ishii, S. Individual Identification by Resting-State EEG Using Common Dictionary Learning. 26th International Conference on Artificial Neural Networks (ICANN2017), pp.199-207, Sardinia, Sep. 2017.
Morioka, H. and Hyvärinen, A. Unsupervised feature extraction by time-contrastive learning from resting-state fMRI data. Gatsby-Kakenhi Workshop on AI and Neuroscience. London, May 2017.
Hyvarinen, A., Morioka, H., Nonlinear ICA of Temporally Dependent Stationary Sources. The 20th International Conference on Artificial Intelligence and Statistics (AISTATS2017), 54:460-469. Florida, Apr. 2017.
Hyvarinen, A., Morioka, H., Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA. In Advances in Neural Information Processing Systems (NIPS2016), pp. 3765–3773. Barcelona, Dec. 2016. [code]
Morioka, H., Hyvärinen, A. Unsupervised feature extraction by time-contrastive learning from resting-state MEG data. The 20th International Conference on Biomagnetism (BIOMAG2016). Seoul, Oct. 2016.
Morioka, H., Hyvärinen, A. Unsupervised feature extraction by time-contrastive learning from resting-state MEG data. The 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI2016). Trento, Jun. 2016.
Morioka, H., Kanemura, A., Hirayama, J., Shikauchi, M., Ogawa, T., Ikeda, S., Kawanabe, M., and Ishii, S. Subject-transfer decoding by learning a common dictionary from multisubject dataset. 10th AEARU Workshop on Computer Science and Web Technology. Tsukuba, Feb. 2015.
Ogawa, T., Gupta, K. P., Yano, K., Abdur-Rahim, J. A., Morioka, H., Hirayama, J., Yamaguchi, S., Ishikawa, A., Inoue, Y., Kawanabe, M., and Ishii, S. Decoding daily behaviors from NIRS signatures by using a portable NIRS device in the daily-life environment. Society for Neuroscience Annual Meeting (SfN2014). Washington, D.C., Nov. 2014.
Morioka, H., Kanemura, A., Hirayama, J., Shikauchi, M., Ogawa, T., Ikeda, S., Kawanabe, M., and Ishii, S. Subject-independent BCI through sparse learning of spatial bases common across sessions and subjects. Neuro2014. Yokohama, Sep. 2014.
Morioka, H., Kanemura, A., Hirayama, J., Ogawa, T., Ikeda, S., Kawanabe, M., and Ishii, S. Subject-independent decoding from EEG through sparse learning of spatial bases common across sessions and subjects. INCF Japan Node International Workshop: Advances in Neuroinformatics 2014 (AINI 2014). Wako, Sep. 2014.
Ogawa, T., Gupta, K. P., Abdur-Rahim, J. A., Yano, K., Morioka, H., Hirayama, J., Kawanabe, M., and Ishii, S. Decoding daily-life behavioral signatures in the real environment: portable NIRS signal using behavior labels. Neuro2014. Yokohama, Sep. 2014.
Kanemura, A., Morales, Y., Kawanabe, K., Morioka, H., Kallakuri, N., Ikeda, T., Miyashita, T., Hagita, N., and Ishii, S. A waypoint-based framework in brain-controlled smart home environments: brain interfaces, domotics, and robotics integration. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2013), pp. 865–870, Tokyo, Nov. 2013.
Morioka, H., Kanemura, A., Morimoto, S., Yoshioka, T., Kawanabe, M., and Ishii, S. Decoding of spatial attention from cortical currents estimated from EEG with NIRS prior. Neuro2013. Kyoto, Jun. 2013.
Morioka, H. Vision-based mobile robot’s SLAM and navigation in crowded environments. Joint Workshop on Dynamical Systems and Control, Shanghai China, Nov. 2011.
Morioka, H., Yi, S., and Hasegawa, O. Vision-based mobile robot’s SLAM and navigation in crowded environments. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2011), pp. 3998—4005, San Francisco, Sep. 2011.
Morioka, H. and Hyvärinen, A. Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data. Workshop on Causal Representation Learning, Tübingen, Apr. 2023.
Morioka, H. Nonlinear spatial ICA of resting-state fMRI via space-contrastive learning. Brainstorming on Primate Connectome 2019, Kobe, Japan. Oct. 2019.
Morioka, H. Learning a common dictionary for subject-transfer decoding with resting calibration. International Brain-Computer Interface (BCI) Meeting 2016. Invited talk. California, May. 2016.