Publications
Journal Papers
Suzuki, K., Yamashita, O., MEG current source reconstruction using a meta-analysis fMRI prior. NeuroImage, 2021, 236:118034.
Takagi, Y., Hirayama, J., Tanaka, S., C., State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits. NeuroImage, 2019, 201:116036.
Takagi, Y., Sakai, Y., Abe, Y., Nishida, S., Harrison, B., J., Martínez-Zalacaín, I., Soriano-Mas, C., Narumoto, J., Tanaka, S., C., A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity. NeuroImage, 2018, 172, 506–516.
Ishihara, K., Morimoto, J., An optimal control strategy for hybrid actuator systems: application to an artificial muscle with electric motor assist. Neural Networks, 2018, 99, 92-100.
Cortese, A., Amano, K., Koizumi, A., Kawato, M., and Lau, H., Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants. NeuroImage, 2017, 149, 323-337.
Takagi, Y., Sakai, Y., Lisi, G., Yahata, N., Abe, Y., Nishida, S., Nakamae, T., Morimoto, J., Kawato, M., Narumoto, J., Tanaka, S., C., A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity. Scientific Reports, 2017, 7, 7538.
Cortese, A., Amano, K., Koizumi, A., Kawato, M., and Lau, H., Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance. Nature Communications, 2016, 7:13669.
Yamashita, M., Kawato, M., Imamizu, H., Predicting learning plateau of working memory from whole-brain intrinsic network connectivity patterns. Scientific Reports, 2015, 5, 7622.
Fukushima, M., Yamashita, O., Knösche, T.R., Sato, M., MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks. NeuroImage, 2015, 105, 408-427.
Lisi, G., Noda, T., Morimoto, J., Decoding the ERD/ERS: influence of afferent input induced by a leg assistive robot. Frontiers in Systems Neuroscience, 2014, 8.
Majima, K., Matsuo, T., Kawasaki, K., Kawai, K., Saito, N., Hasegawa, I., Kamitani, Y., Decoding visual object categories from temporal correlations of ECoG signals. NeuroImage, 2014, 90, 74-83.
Horikawa, T., Tamaki, M., Miyawaki, Y., Kamitani, Y., Neural decoding of visual imagery during sleep. Science, 2013, 340(6132), 639-642.
Onizuka, M., Hoang, H., Kawato, M., Tokuda, I., Schweighofer, N., Katori, Y., Aihara, K., Lang, E.J., Toyama, K., Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from the spike trains by network model simulation. Neural Networks, 2013, 47, 51-63.
Fukushima, M., Yamashita, O., Kanemura, A., Ishii, S., Kawato, M., Sato, M., A state-space modeling approach for localization of focal current sources from MEG. IEEE Transactions on Biomedical Engineering, 2012, 59(6), 1561-1571.
Fujiwara, Y., Yamashita, O., Kawawaki, D., Doya, K., Kawato, M., Toyama, K., Sato, M., A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. NeuroImage, 2009, 45(2), 393-409.
Nambu, I., Osu, R., Sato, M., Ando, S., Kawato, M., Naito, E., Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS). NeuroImage, 2009, 47(2), 628-637.
Bissmarck, F., Nakahara, H., Doya, K., Hikosaka, O., Combining modalities with different latencies for optimal motor control. Journal of Cognitive Neuroscience, 2008, 20(11), 1966-1979.
Ariki, Y., Morimoto, J., Hyon, S-.H., Behavior recognition with ground reaction force estimation and its application to imitation learning [in Japanese]. The IEICE Transactions on Information and Systems (Japanese Edetion), 2008, J91-D(9), 2394-2403.
Shibata, K., Yamagishi, N., Goda, N., Yoshioka, T., Yamashita, O., Sato, M., Kawato, M., The effects of feature attention on prestimulus cortical activity in the human visual system. Cerebral Cortex, 2007, 18(10), 1664-1675.
Tanaka, S.C., Samejima, K., Okada, G., Ueda, K., Okamoto, Y., Yamawaki, S., Doya, K., Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics. Neural Networks, 2006, 19(8), 1233-1241.
Kawawaki, D., Shibata, T., Goda, N., Doya, K., Kawato, M., Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and covert visual pursuit. Neuroscience Research, 2006, 54(2), 112-123.
Sugimoto, N., Samejima, K., Doya, K., Kawato, M., Hierarchical reinforcement learning: temporal abstraction based on MOSAIC model [in Japanese]. The IEICE Transactions on Information and Systems (Japanese Edetion), 2006, J89-D(7), 1577-1587.
Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K., Learning CPG-based biped locomotion with a policy gradient method. Robotics and Autonomous Systems, 2006, 54, 911-920.
Doi, T., Kuroda, S., Michikawa, T., Kawato, M., Inositol 1,4,5-trisphosphate-dependent Ca2+ threshold dynamics detect spike timing in cerebellar Purkinje cells. The Journal of Neuroscience, 2005, 25(4), 950-961.
Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K., Learning a dynamic policy by using policy gradient: application to biped walking [in Japanese]. The Transactions of the Institute of Electronics, Information and Communication Engineers, 2005, J88-D-II(1), 53-65.
Tanaka, S.C., Doya, K., Okada, G., Ueda, K., Okamoto, Y., Yamawaki, S., Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops. Nature Neuroscience, 2004, 7(8), 887-893.
Hirai, S., Osu, R., Yoshioka, T., Kawato, M., Simultaneous adaptation and switching for two viscous force fields [in Japanese]. The Transactions of the Institute of Electronics, Information and Communication Engineers, 2004, J87-D-II(12), 2231-2241.
Sugimoto, N., Samejima, K., Doya, K., Kawato, M., Reinforcement learning and goal estimation by multiple forward and reward models [in Japanese]. The Transactions of the Institute of Electronics, Information and Communication Engineers, 2004, J87-D-II(2), 683-694.