DOI:10.1109/JSYST.2014.2330376 (2014.7.8)

[17] Morishige, K., Yoshioka T., Kawawaki, Hiroe, N., Sato, M., Kawato, M., “Estimation of hyper-parameters for a hierarchical model of combined cortical and extra-brain current sources in the MEG inverse problem”, NeuroImage Vol.101, pp.320-336 (2014.7.14)

[18] Bouyarmane, K., Vaillant, J., Sugimoto, N., Keith, F., Furukawa, J., Morimoto, J., “Brain–machine interfacing control of whole-body humanoid motion”, Frontiers in Systems Neurosciences Vol.8, Article138, pp.1–10 (2014.8.5)

[19] Ugur, E., Nagai, Y., Celikkant, H., Oztop, E., “Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills”, Robotica DOI:10.1017/S0263574714002148 (2014.8.19)

[20] Ahamed, T., Kawanabe, M., Ishii, S., Callan, D., “Structural differences in gray matter between glider pilots and non-pilots. A voxel based morphometry study”, Frontiers in Neurology DOI: 10.3389/fneur.2014.00248 (2014.11.28)

[21] Morimoto, J., Kawato, M., “Creating the brain and interacting with the brain: an Integrated approach to understanding the brain”, Journal of the Royal Society Interface Vol.12, Issue 104,20141250 (2015.1.14)

[22] 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 No.111, pp.167–178 (2015.2.15)

[23] Yamashita, M., Kawato, M., Imamizu, H., “Predicting learning plateau of working memory from whole-brain intrinsic network connectivity”, Scientific Reports Vol.5, Article No. 7622 (2015.1.5)

[24] Singh, A. K., Asoh, H., Takeda, Y., Phillips S., “Statistical detection of EEG synchrony using empirical bayesian inference”, PLoS ONE Vol.10, issue3, e0121795 (2015.3.30)

[25] Fukuda M., Yamashita A., “Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network”, Frontiers in Human Neuroscience Vol.9, Article No.160 (2015.3.30)

[26] Furukawa, J., Noda, T., Teramae, T., Morimoto, J., “A fault tolerant approach for biosignal-based robot control”, Advanced Robotics Vol.29, No.7, pp.505-514 (2015.4.1)

[27] Hirayam, J., Ogawa, T., Hyvarinen, A., “Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis”, Neural Computation in press (2015.5)

## 7 査読付き口頭発表論文（印刷物を含む）リスト

[1] 兼村 厚範、“統計的画像処理におけるモデルングの方向性について”、人工知能学会 第 87 回 人工知能基本問題研究会、p.25、慶應大学日吉キャンパス（横浜市、神奈川県）(2012.11.17)

[2] Hirayama, J., Hyvarinen, A., Ishii, S., “Sparse and low-rank constraints for estimating time-varying network structures”, 第3回 Latent Dynamics Workshop, 予稿集 pp.17-19, 東京大学（文京区、東京都）(2012.9.24)

[3] Ugur, E., “Self-discovery of motor primitives and learning grasp affordances”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3260–3267 (Vilamoura, Portugal) (2012.10.7–10.12)

[4] Singh, A., Ogawa, T., Hirayama, J., Maruyama, M., Kawanabe, M., Ishii, S., “Spatio-temporal and cortical characterization of EEG changes during motor imagery”, 6th Congress of Neuroinformatics, pp.150–151, Karolinska Inst. (Stockholm, Sweden) (2013.8.27–8.29)

[5] Vuga, R., Ogrinc, M., Gams, A., Petric, T., Sugimoto, N., Ude, A., Morimoto, J., "Motion capture and