{"id":32,"date":"2010-07-09T12:02:12","date_gmt":"2010-07-09T03:02:12","guid":{"rendered":"http:\/\/www.cns.atr.jp\/cbi\/?page_id=32"},"modified":"2026-03-04T16:28:54","modified_gmt":"2026-03-04T07:28:54","slug":"publications","status":"publish","type":"page","link":"https:\/\/bicr.atr.jp\/cbi\/publications\/","title":{"rendered":"\u51fa\u7248\u7269"},"content":{"rendered":"<h3>Journals<\/h3>\n<ul>\n<li>Suzuki,K., Takeda,Y., Hiroe,N., Yamashita,O.,(2026), Channel gain calibrated signal space projection using variational bayesian estimation for optically pumped magnetometers, <em>Imaging Neuroscience, <\/em>Vol.4, IMAG.a.1137<\/li>\n<li>Yamashita,A., Itahashi,T., Sakai,Y., Takamura,M., Togo,H., Yoshihara,Y., et al.,(2026), Extraction of robust functional connectivity patterns across psychiatric disorders using principal component analysis-based feature selection, <em>Imaging Neuroscience, <\/em>Vol.4, IMAG.a.1121.<\/li>\n<li>Kashiwagi,Y., Tokuda,T., Takahara,Y., Masaki,Y., Sakai,Y., Yoshimoto,J., Yamashita,A., et al., (2025), Generalizable stratification based on thalamo-somatomotor functional connectivity predicts responses to antidepressants in patients with depression,\u00a0<em>Molecular Psychiatry<\/em>, s41380-025-03224-5<\/li>\n<li>Yamashita,O., Yamashita,A., Takahara,Y., Sakai,Y., Okamoto,Y., Okada,Go., Takamura,M., et al., (2025), Computational mechanisms of neuroimaging biomarkers uncovered by multicenter resting-state fMRI connectivity variation profile, <em>Molecular Psychiatry<\/em>, s41380-025-03134-6<\/li>\n<li>Li,Y., Chen,B., Hu,Z., Suzuki,K., Bai,W., Koike,Y.,Yamashita,O., (2025), Correntropy-based improper likelihood model for robust electrophysiological source imaging<em>, <\/em><em>IEEE Transactions on Medical Imaging<\/em>, Vol.44,No.7,pp.3076-3088<\/li>\n<li>Takahara,Y., Kashiwagi,Y., Tokuda,T., Yoshimoto,J., Sakai,Y., Yamashita,A., Yoshioka,T., et al, (2025), Comprehensive evaluation of pipelines for classification of psychiatric disorders using multi-site resting-state fMRI datasets,\u00a0<em>Neural Networks<\/em>, Vol.187, 107335<\/li>\n<li>Hoang,H., Tsutsumi,S., Matsuzaki,M., Kano,M., Toyama,K., Kitamura,K., Kawato,M.,(2025), Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning, <em>PLOS Computational Biology<\/em>, 21(3): e1012899<\/li>\n<li>Bai, W., Yamashita,O., Yoshimoto,J.,(2025), Functionally specialized spectral organization of the resting human cortex,\u00a0<em>Neural Networks<\/em>, Vol.185, 107195<\/li>\n<li>Li,Y., Chen,B., Yoshimura,N., Koike,Y., Yamashita,O.,(2024), Sparse Bayesian correntropy learning for robust muscle activity reconstruction from noisy brain recordings, <em>Neural Networks<\/em>, Vol.182, 106899<\/li>\n<li>Hoang,H., Matsumoto,N., Miyano, M., Ikegaya,Y., Cortese,A.,(2024), Dopamine-induced relaxation of spike synchrony diversifies burst patterns in cultured hippocampal networks, <em>Neural Networks<\/em>, Vol.181, 106888<\/li>\n<li>Endo,H., Ikeda,S., Harada,K., Yamagata,H., Matsubara,T., Matsuo,K., Kawahara,Y, Yamashita, O.,(2024),Manifold alteration between major depressive disorder and healthy control subjects using dynamic mode decomposition in resting-state fMRI data, <em>Frontiers in Psychiatry, <\/em>Vol.15, 1288808<\/li>\n<li>Huu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, Masanobu Kano, Mitsuo Kawato, Kazuo Kitamura, Keisuke Toyama (2023) Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components reduces dimensions for reinforcement learning <em>eLife<\/em> 12:e86340<\/li>\n<li>Takeda,Y., Gomi,T., Umebayashi,R., Tomita,S., Suzuki,K., Hiroe,N., Saikawa,J., Munaka,T., Yamashita,O., (2023), Sensor array design of optically pumped magnetometers for accurately estimating source currents, <em>NeuroImage<\/em>, Volume 277, 120257<\/li>\n<li>Bai, W., Yamashita, O., Yoshimoto, J., (2023), Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis, <em>Neural Networks<\/em>, Vol.163, pp 327-340<\/li>\n<li>Takeda,Y., Hiroe, N., Yamashita,O., (2021), Whole-brain propagating patterns in human resting-state brain activities, <em>NeuroImage<\/em>, Vol.245, 118711<\/li>\n<li>Tokuda,T., Yamashita,0., Sakai,Y., Yoshimoto,J., (2021), Clustering of multiple psychiatric disorders using functional connectivity in the data-driven brain subnetwork, <em>Frontiers in Psychiatry<\/em>, Vol.12, Article 683280<\/li>\n<li>Tokuda,T., Yamashita,0., Yoshimoto,J., (2021), Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization, <em>Neural Networks<\/em>, Vol.142, pp.269-287<\/li>\n<li>Suzuki, K., Yamashita, O., (2021), MEG current source reconstruction using a meta-analysis fMRI prior, <em>NeuroImage<\/em>, Vol.236, 118034<\/li>\n<li>Hoang, T.H., Lang, E.J., Hirata, Y., Tokuda, I.T., Aihara, K.,Toyama, K., Kawato, M., Schweighofer, N.,(2020), Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons, <em>PLOS Computational Biology,<\/em> Vol.16,No.7,e1008075<\/li>\n<li>Aihara, T., Shimokawa, T., Ogawa, T., Okada, Y., Ishikawa, A., Inoue, Y., Yamashita, O.,(2020), Resting-state functional connectivity estimated with hierarchical Bayesian diffuse optical tomography, <em>Frontiers in Neuroscience<\/em>, Vol.14, Article 32<\/li>\n<li>Endo, H., Hiroe, N., Yamashita, O.,(2020), Evaluation of resting spatio-temporal dynamics of a neural mass model using resting fMRI connectivity and EEG microstates, <em>Frontiers in Computational Neuroscience<\/em>, Vol.13, Article 91<\/li>\n<li>Takeda, Y., Itahashi, T., Sato, M., Yamashita, O., (2019), Estimating repetitive spatiotemporal patterns from many subjects\u2019 resting-state fMRIs, <em>NeuroImage<\/em>, Vol. <strong>203<\/strong>, 116182.<\/li>\n<li>Takeda, Y., Suzuki, K., Kawato, M., Yamashita, O., (2019), Meg source imaging and group analysis using VBMEG, <em>Fontiers in Neuroscience<\/em>, Vol. <strong>13<\/strong>, Article 241<\/li>\n<li>Shimokawa, T., Nishio, A., Sato, M., Kawato, M., Komatsu, H., (2019), Computational model for human 3D shape perception from a single specular image, <em>Frontiers in Computational Neuroscience, <\/em>Vol. <strong>13<\/strong>, Article 10<\/li>\n<li>Shimokawa, T., Ishii, T., Takahashi, Y., Mitani, Y., Mifune, H., Chubashi, S., Satoh, M., Oba, Y., Adachi, K., Sugawara, S., Yamashita, O., (2019), Development of multi-directional functional near-infrared spectroscopy system for human neuroimaging studies, <em>Biomedical Optics Express<\/em>, Vol. <strong>11<\/strong>, No. 3, pp.1393-1404<\/li>\n<li>Filatova, O., Yang, Y., Dewald, J., Tian, R., Maceira-Elvira, P., Takeda, Y., Kwakkel, G., Yamashita, O., (2018), Dynamic information flow based on EEG and diffusion MRI in stroke: a proof-of-principle study, <em>Frontiers in Neural Circuits<\/em>, Vol.<strong>12<\/strong>, Article 79<\/li>\n<li>Sato, M., Yamashita, O., Sato, M-A., Miyawaki, Y., (2018), Information spreading by a combination of MEG source estimation and multivariate pattern classification, <em>PLos ONE<\/em>, Vol.<strong>13<\/strong>, No.6, e0198806<\/li>\n<li>Ogawa, T., Aihara, T., Shimokawa, T., Yamashita, O., (2018), Large-scale brain network associated with creative insight: combined voxel-based morphometry and resting-state functional connectivity analyses, <em>Scientific Reports<\/em>, <strong>8<\/strong>, Article 6477<\/li>\n<li>Aihara, T., Ogawa, T., Shimokawa, T., Yamashita, O., (2017), Anodal transcranial direct current stimulation of the right anterior temporal lobe did not significantly affect verbal insight, <em>PLoS ONE<\/em>,\u00a0 Vol.12, No.9, e0184749<\/li>\n<li>Tokuda, I.T., Hoang, H., Kawato, M., (2017), New insights into olivo-cerebellar circuits for learning from a small training sample, <em>Current Opinion in Neurobiology<\/em>, Vol.46, pp.58-67<\/li>\n<li>Hirayama, J., Hyvarinen, A.,\u00a0 Kiviniemi, V., Kawanabe, M., Yamashita, O., (2016), Characterizing variability of modular brain connectivity with constrained principal component analysis, <em>PLoS ONE<\/em>, Vol.11, No.12, e0168180<\/li>\n<li>Shimokawa, T., Ishii, T., Takahashi, Y., Sugawara, S., Sato, M., Yamashita, O., (2016), Diffuse optical tomography using multi-directional sources and detectors, <em>Biomedical Optics Express<\/em>, <strong>7<\/strong>, No.7, pp.2623-2640<\/li>\n<li>Yamashita, O., Shimokawa, T., Aisu, R., Amita, T., Inoue, Y., Sato, M., (2016), Multi-subject and multi-task experimental validation of the hierarchical Bayesian diffuse optical tomography algorithm, <em>NeuroImage<\/em>, <strong>135<\/strong>, 287-299<\/li>\n<li>Callan, D.E., Terzibas, C., Cassel, D.B., Sato, M., Parasuraman, R., (2016), The brain is faster than the hand in split-second intentions to respond to an impending hazard: a simulation of neuroadaptive automation to speed recovery to perturbation in flight attitude. <em>Frontiers in Human Neuroscience<\/em>, <strong>10<\/strong>, Article 187<\/li>\n<li>Takeda, Y., Hiroe, N., Yamashita, O., Sato, M., (2016), Estimating repetitive spatiotemporal patterns from resting-state brain activity data. <em>NeuroImage<\/em>, <strong>133<\/strong>, 251-265<\/li>\n<li>Hyvarinen, A., Hirayama, J., Kiviniemi, V., Kawanabe, M.,(2016), Orthogonal connectivity factorization: Interpretable decomposition of variability in correlation matrices. <em>Neural Computation, <\/em><strong>28<\/strong><em>, <\/em>No.3, 445-484<\/li>\n<li>Hoang, H., Yamashita, O., Tokuda, I.T., Sato, M., Kawato, M., Toyama, K., (2015), Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons form spike trains with complicated dynamics. <em>Frontiers in Computational Neuroscience<\/em>, <strong>9,<\/strong> Article 56<\/li>\n<li>Fukushima, M., Yamashita, O., Knoesche, T.R., Sato, M., (2015), MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks. <em>NeuroImage<\/em>, <strong>105<\/strong>, 408-427<\/li>\n<li>Yamashita, O., Shimokawa, T., Kosaka, T., Amita, T., Inoue, Y., Sato, M., (2014), Hierarchical Bayesian model for diffuse optical tomography of the human brain: human experimental study. <em>Journal of Advanced Computational Intelligence and Intelligent Informatics<\/em>, <strong>18<\/strong>, No.6, pp.1026-1033<\/li>\n<li>Takeda, Y., Yamanaka, K., Yamagishi, N., and Sato, M., (2014), Revealing time-unlocked brain activity from MEG measurements by common waveform estimation. <em>PLoS One<\/em>, 9, 5, e98014<\/li>\n<li>Shimokawa, T., Kosaka, T., Yamashita, O., Hiroe, N., Amita, T., Inoue, Y., and\u00a0 Sato, M., (2013), Extended hierarchical Bayesian diffuse optical tomography for removing scalp artifact.\u00a0 <em>Biomed. Opt. Express<\/em> <strong>4<\/strong>, 2411-2432<\/li>\n<li>Callan, D.E., Terzibas, C., Cassel, D., Callan, A., Kawato, M., Sato, M., (2013), Differential activation of brain regions involved with error-feedback and imitation based motor simulation when observing self and an expert&#8217;s actions in pilots and non-pilots on a complex glider landing task. <em>NeuroImage<\/em>, 72, 55-68<\/li>\n<li>Callan, A., Callan, D.E., Ando, H., (2013), Neural correlates of sound externalization. <em>NeuroImage<\/em>, 66, 22-27<\/li>\n<li>Souza, A.C., Yehia, H.C., Sato, M., Callan, D.E., (2013), Brain activity underlying auditory perceptual learning during short period training: simultaneous fMRI and EEG recording. <em>BMC Neuroscience 2013<\/em>, 14:8<\/li>\n<li>Shimokawa, T., Kosaka, T., Yamashita, O., Hiroe, N., Amita, T., Inoue, Y., Sato, M., (2012), Hierarchical Bayesian estimation improves depth accuracy and spatial resolution of diffuse optical tomography. <em>Optics Express<\/em>, 20, 18, 20427-20446<\/li>\n<li>Hubbard, A.L., McNealy, K., Scott-Van Zeeland, A.A., Callan, D.E., Bookheimer, S.Y., Dapretto, M., (2012), Altered integration of speech and gesture in children with autism spectrum disorders. <em>Brain and Behavior, <\/em>2, 5, 606-619<\/li>\n<li>Watanabe, H., Sato, M., Suzuki, T., Nambu, A., Nishimura, Y., Kawato, M., Isa, T. (2012), Reconstruction of movement-related intracortical activity from micro-electrocorticogram array signals in monkey primary motor cortex. <em>Journal of Neural Engineering,\u00a09, 3, 036006<\/em><\/li>\n<li>Fukushima, M., Yamashita, O., Kanemura, A., Ishii, S., Kawato, M., Sato, M.(2012), A state-space modeling approach for localization of focal current sources from MEG. <em>IEEE Transactions on Biomedical Engineering<\/em>, 59, 6, 1561-1571.<\/li>\n<li>Callan, D. E., Gamez, M., Cassel, D., Callan, A., Kawato, M., Sato, M., (2012). Dynamic visuomotor transformation involved with remote flying of a plane utilizes the \u2018mirror neuron\u2019 system. <em>PLoS One<\/em>, 7,4,e33873<\/li>\n<li>Aihara, T., Takeda, Y., Takeda, K., Yasuda, W., Sato, T., Otaka, Y., Hanakawa, T., Honda, M., Liu, M., Kawato, M., Sato, M., Osu, R.(2012), Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior. <em>NeuroImage<\/em>, 59, 4, 4006-4021.<\/li>\n<li>Yoshimura, N., Dasalla, C. S., Hanakawa, T., Sato, M., Koike, Y., (2011). Reconstruction of flexor and extensor muscle activities from electroencephalography cortical currents. <em>NeuroImage<\/em>, 59, 2, 1324-1337 .<\/li>\n<li>Yoshimoto, J., Sato, M., Ishii, S. Bayesian normalized gaussian network and hierarchical model selection method. <em>Intelligent Automation and Soft Computing<\/em>, 17, 71\u201394.<\/li>\n<li>Bosch-bayard, J., Riera-diaz, J., Biscay-lirio, R., Wong, K. F. K., Galka, A., Yamashita, O., Sadato, N., Kawashima, R., Aubert-vazquez, E., Rodriguez-rojas, R., Valdes-sosa, P., Miwakeichi, F., Ozaki, T., (2010). Spatio-temporal correlations from fMRI time series based on the NN-ARx model. <em>Journal of Integrative Neuroscience<\/em>, 9, 4, 381-406 .<\/li>\n<li>He, Z., Cichocki, A., Xie, S., Choi, K. (2010). Detecting the number of clusters in n-way probabilistic clustering. <em>IEEE Transactions on Pattern Analysis and Machine Intelligence<\/em>, 32, 11, 2006-2021.<\/li>\n<li>Hata, S., Shimokawa, T., Arai, K., Nakao, H. (2010). Synchronization of uncoupled oscillators by common gamma impulses: from phase locking to noise-induced synchronization. <em>Physical Review E<\/em>, 82, 3, 036206.<\/li>\n<li>Takeda, Y., Sato, M., Yamanaka, K., Nozaki, D., Yamamoto, Y. (2010). A generalized method to estimate waveforms common across trials from EEGs. <em>NeuroImage<\/em>, 51, 2, 629-641.<\/li>\n<li>Kanemura, A., Maeda, S., Ishii, S. (2010). Sparse Bayesian learning of filters for efficient image expansion. <em>IEEE Transactions on Image Processing<\/em>, 19, 6, 1480-1490.<\/li>\n<li>\u68ee\u91cd\u5065\u4e00, \u5ddd\u8107\u5927, \u5409\u5ca1\u7422, \u4f50\u85e4\u96c5\u662d, \u5ddd\u4eba\u5149\u7537 (2010). \u8133\u78c1\u56f3\u9006\u554f\u984c\u306b\u304a\u3051\u308b\u8907\u6570\u306e\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u6e90\u3068\u8133\u5185\u96fb\u6d41\u5206\u5e03\u306e\u540c\u6642\u63a8\u5b9a\u6cd5 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/em>, J93-D, 2, 127-138.<\/li>\n<li>Callan, D. E., Callan, A. M., Gamez, M., Sato, M., Kawato, M. (2010). Premotor cortex mediates perceptual performance. <em>NeuroImage<\/em>, 51, 2, 844-858.<\/li>\n<li>Shinozaki, J., Hiroe, N., Yoshioka, T., Sato, M., Sekiyama, K. (2009). Neural mechanisms associated with audio-visual integration in native Japanese and native English; an fMRI study. <em>Clinical Neurophysiology\/Society Proceedings<\/em>, 121, 7, e24.<\/li>\n<li>Choi, K., Hirose, H., Sakurai, Y., Iijima, T., Koike, Y. (2009). Prediction of arm trajectory from the neural activities of the primary motor cortex with modular connectionist architecture. <em>Neural Networks<\/em>, 22, Issue 9, 1214-1223.<\/li>\n<li>Callan, D. E., Schweighofer, N. (2009). Neural correlates of the spacing effect in explicit verbal semantic encoding support the deficient-processing theory. <em>Human Brain Mapping<\/em>, 31, 4, 645-659.<\/li>\n<li>Shinomoto, S., Kim, H., Shimokawa, T., Matsuno, N., Funahashi, S., Shima, K., Fujita, I., Tamura, H., Doi, T., Kawano, K., Inaba, N., Fukushima, K., Kurkin, S. (2009). Relating neuronal firing patterns to functional differentiation of cerebral cortex. <em>PLoS Computational Biology<\/em>, 5, 7, e1000433.<\/li>\n<li>Fujiwara, Y., Yamashita, O., Kawawaki, D., Doya, K., Kawato, M., Toyama, K., Sato, M. (2009). A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. <em>NeuroImage<\/em>, 45, 2, 393-409.<\/li>\n<li>Yukinawa, N., Yoshioka, T., Kobayashi, K., Ogasawara, N., Ishii, S. (2009). A constrained Gaussian mixture model for correlation-based cluster analysis of gene expression data. <em>IPSJ Transactions on Bioinformatics<\/em>, 2, 47-62.<\/li>\n<li>Nambu, I., Osu, R., Sato, M., Ando, S., Kawato, M., Naito, E. (2009). Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS). <em>NeuroImage<\/em>, 47, Issue 2, 628-637.<\/li>\n<li>Okada, K., Toyama, K., Inoue, Y., Isa, T., Kobayashi, Y. (2009). Different pedunculopontine tegmental neurons signal predicted and actual task rewards. <em>Journal of Neuroscience<\/em>, 29, 15, 4858-4870.<\/li>\n<li>Miyawaki, Y., Uchida, H., Yamashita, O., Sato, M., Morito, Y., Tanabe, H. C., Sadato, N., Kamitani, Y. (2008). Visual image reconstruction from human brain activity using a combination of multi-scale local image decoders. <em>Neuron<\/em>, 60, 5, 915-929.<\/li>\n<li>Callan, A. M., Osu, R., Yamagishi, Y., Callan, D. E., Inoue, N. (2008). Neural correlates of resolving uncertainty in driver&#8217;s decision making. <em>Human Brain Mapping (Wiley Inter Science Online)<\/em>, 30, Issue 9, 2804-2812.<\/li>\n<li>Yamashita, O., Sato, M., Yoshioka, T., Tong, F., Kamitani, Y. (2008). Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns. <em>NeuroImage<\/em>, 42, Issue 4, 1414-1429.<\/li>\n<li>Yoshioka, T., Sato, M., Toyama, K., Yamashita, O., Nishina, S., Yamagishi, N., Kawato, M. (2008). Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals. <em>NeuroImage<\/em>, 42, Issue 4, 1397-1413.<\/li>\n<li>Callan, D. E., Schweighofer, N. (2008). Positive and negative modulation of word learning by reward anticipation. <em>Human Brain Mapping<\/em>, 29, Issue2, 237-249.<\/li>\n<li>Shibata, K., Yamagishi, N., Goda, N., Yoshioka, T., Yamashita, O., Sato, M., Kawato, M. (2007). The Effects of feature attention on prestimulus cortical activity in the human visual system. <em>Cerebral Cortex<\/em>, Vool.18, 10, 1664-1675.<\/li>\n<li>Callan, D. E., Kawato, M., Parsons, L., Turner, R. (2007). Speech and song: the role of the cerebellum. <em>The cerebellum<\/em>, 6, Issue 4, 321-327.<\/li>\n<li>Bando, T., Shibata, T., Doya, K., Ishii, S. (2006). Switching particle filters for efficient visual tracking. <em>Robotics and Autonomous Systems<\/em>, 54, 10, 873-884.<\/li>\n<li>Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K. (2006). Learning CPG-based biped locomotion with a policy gradient method. <em>Robotics and Autonomous Systems<\/em>, 54,911-920.<\/li>\n<li>Callan, A. M., Callan, D. E., Tajima, K., Akahane-yamada, R. (2006). Neural processes involved with perception of non-native durational contrasts. <em>NeuroReport<\/em>, 17, 12, 1353-1357.<\/li>\n<li>Wong, K., F., K., Galka, A., Yamashita, O., &amp; Ozaki, T. (2006). Modelling non-stationary variance in EEG time series by state space GARCH model. <em>Computers in Biology and Medicine<\/em>, <em>36<\/em>(12), 1327\u20131335.<\/li>\n<li>Callan, M. A., Callan, E. D., &amp; Sato, M. (2005). When meaningless symbols become letters: Neural activity change in learning new phonograms. <em>NeuroImage<\/em>, <em>28<\/em>, 553\u2013562.<\/li>\n<li>Kawawaki, D., Shibata, T., Goda, N., Doya, K., &amp; Kawato, M. (2006). Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and covert visual pursuit. <em>Neuroscience Research<\/em>, <em>54<\/em>(2), 112\u2013123.<\/li>\n<li>Shibata, T., Tabata, H., Schaal, S., &amp; Kawato, M. (2005). A model of smooth pursuit in primates based on learning the target dynamics. <em>Neural Networks<\/em>, <em>18<\/em> (3), 213\u2013224. [<a href=\"https:\/\/bicr.atr.jp\/cbi\/wp-content\/uploads\/2010\/07\/Shibata2005nn.pdf\">PDF<\/a>]<\/li>\n<li>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, \u4f50\u85e4\u96c5\u662d, \u9285\u8c37\u8ce2\u6cbb (2005). \u65b9\u7b56\u3053\u3046\u914d\u6cd5\u3092\u7528\u3044\u305f\u52d5\u7684\u884c\u52d5\u5247\u306e\u7372\u5f97\uff1a2\u8db3\u6b69\u884c\u904b\u52d5\u3078\u306e\u9069\u7528. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c, <em>J88-D-II<\/em>(1), 53\u201365.<\/li>\n<li>\u5409\u672c\u6f64\u4e00\u90ce, \u9285\u8c37\u8ce2\u6cbb, \u77f3\u4e95\u4fe1 (2005). \u5f37\u5316\u5b66\u7fd2\u306e\u57fa\u790e\u7406\u8ad6\u3068\u5fdc\u7528. \u8a08\u6e2c\u3068\u5236\u5fa1, <em>44<\/em>(5), 313\u2013318.<\/li>\n<li>Haruno, M., Kuroda, T., Doya, K., Toyama, K., Kimura, M., Samejima, K., Imamizu, H., &amp; Kawato, M. (2004). A neural correlate of reinforcement-based behavioral learning in caudate nucleus: An fMRI study of a stochastic decision task. <em>Journal of Neuroscience<\/em>, <em>24<\/em>(7), 1660\u20131665. [<a href=\"https:\/\/bicr.atr.jp\/cbi\/wp-content\/uploads\/2010\/07\/Haruno2004jns.pdf\">PDF<\/a>]<\/li>\n<li>Sato, M., Yoshioka, T., Kajiwara, S., Toyama, K., Goda, N., Doya, K., &amp; Kawato, M. (2004). Hierarchical Bayesian estimation for MEG inverse problem. <em>NeuroImage<\/em>, <em>23<\/em>, 806\u2013826. [<a href=\"https:\/\/bicr.atr.jp\/cbi\/wp-content\/uploads\/2010\/07\/Sato2004ni.pdf\">PDF<\/a>]<\/li>\n<li>\u4e2d\u6751\u6cf0, \u4f50\u85e4\u96c5\u662d, \u77f3\u4e95\u4fe1 (2004). \u795e\u7d4c\u632f\u52d5\u5b50\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u30ea\u30ba\u30e0\u904b\u52d5\u306b\u5bfe\u3059\u308b\u5f37\u5316\u5b66\u7fd2\u6cd5. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c, <em>J87-D-II<\/em>(3), 893\u2013902.<\/li>\n<li>\u5409\u672c\u6f64\u4e00\u90ce, \u77f3\u4e95\u4fe1, \u4f50\u85e4\u96c5\u662d (2003). \u9023\u7d9a\u529b\u5b66\u30b7\u30b9\u30c6\u30e0\u306e\u81ea\u52d5\u5236\u5fa1\u306e\u305f\u3081\u306e\u30aa\u30f3\u30e9\u30a4\u30f3EM\u5f37\u5316\u5b66\u7fd2\u6cd5. \u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u60c5\u5831\u5b66\u4f1a\u8ad6\u6587\u8a8c, <em>16<\/em>(5), 209\u2013217. [<a href=\"https:\/\/bicr.atr.jp\/cbi\/wp-content\/uploads\/2010\/07\/Yoshimoto2003iscieJ.pdf\">PDF<\/a>]<\/li>\n<li>\u5409\u672c\u6f64\u4e00\u90ce, \u77f3\u4e95\u4fe1, \u4f50\u85e4\u96c5\u662d (2003). \u5909\u5206\u6cd5\u7684\u30d9\u30a4\u30ba\u63a8\u5b9a\u6cd5\u306b\u57fa\u3065\u304f\u6b63\u898f\u5316\u30ac\u30a6\u30b9\u95a2\u6570\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u968e\u5c64\u7684\u30e2\u30c7\u30eb\u9078\u629e\u6cd5. \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u8ad6\u6587\u96c6, <em>39<\/em>(5), 503\u2013512. [<a href=\"https:\/\/bicr.atr.jp\/cbi\/wp-content\/uploads\/2010\/07\/Yoshimoto2003siceJ.pdf\">PDF<\/a>]<\/li>\n<li>\u5927\u7fbd\u6210\u5f81, \u77f3\u4e95\u4fe1, \u4f50\u85e4\u96c5\u662d (2002). \u5909\u5206\u6cd5\u7684\u30d9\u30a4\u30ba\u63a8\u5b9a\u306b\u3088\u308b\u6df7\u5408\u4e3b\u6210\u5206\u5206\u6790. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c, <em>J85-D-II<\/em>(6), 1055\u20131065.<\/li>\n<li>Sato, M. (2001). On-line model selection based on the variational Bayes. <em>Neural Computation<\/em>, <em>13<\/em>(7), 1649\u20131681.<\/li>\n<li>Yoshimoto, J., Ishii, S., &amp; Sato, M. (2001). Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot. <em>Systems and Computers in Japan<\/em>, <em>32<\/em>(5), 12\u201320.<\/li>\n<li>\u77f3\u4e95\u4fe1, \u4f50\u85e4\u96c5\u662d (2000). \u7d71\u8a08\u7684\u624b\u6cd5\u306b\u57fa\u3065\u304f\u5f37\u5316\u5b66\u7fd2\u3068\u5236\u5fa1\u30eb\u30fc\u30eb\u306e\u7372\u5f97. \u8a08\u6e2c\u3068\u5236\u5fa1, <em>39<\/em>(12),.<\/li>\n<li>\u5409\u672c\u6f64\u4e00\u90ce, \u77f3\u4e95\u4fe1, \u4f50\u85e4\u96c5\u662d (2000). \u30aa\u30f3\u30e9\u30a4\u30f3EM\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u5f37\u5316\u5b66\u7fd2\u6cd5\u306eacrobot\u5236\u5fa1\u3078\u306e\u5fdc\u7528. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c, <em>J83-D-II<\/em>(3), 1024\u20131033. [<a href=\"https:\/\/bicr.atr.jp\/cbi\/wp-content\/uploads\/2010\/07\/Yoshimoto2000ieiceJ.pdf\">PDF<\/a>]<\/li>\n<\/ul>\n<h3>Books, Reviews, and Reports<\/h3>\n<ul>\n<li>Callan, D. E., Manto, M., (2012). Cerebellar control of speech and song. <em>Handbook of the Cerebellum and Cerebellar Disorders<\/em>.<\/li>\n<li>\u5409\u5ca1\u7422, \u4f50\u85e4\u96c5\u662d, (2011). \u968e\u5c64\u5909\u5206\u30d9\u30a4\u30ba\u8133\u6d3b\u52d5\u63a8\u5b9a\u6cd5(VBMEG)\u306e\u539f\u7406\u3068\u5fdc\u7528. <em>\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u8a8c<\/em>, 18, 4, 214-223 .<\/li>\n<li>\u4f50\u85e4\u96c5\u662d, (2011). \u30d6\u30ec\u30a4\u30f3\u30de\u30b7\u30f3\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u6280\u8853\u306e\u52d5\u5411\u30fb\u73fe\u72b6. <em>\u65e5\u672c\u78c1\u6c17\u5b66\u4f1a\u8a8c<\/em>, 6, 4, 184-190 .<\/li>\n<li>\u76f8\u826f\u548c\u5f66, \u7530\u4e2d\u9756\u4eba, \u7af9\u5e02\u535a\u81e3, \u5c71\u4e0b\u5b99\u4eba, \u9577\u8c37\u5ddd\u826f\u5e73, \u5ca1\u90e8\u9054\u54c9, \u524d\u7530\u592a\u90ce, (2011). \u30d6\u30ec\u30a4\u30f3\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\uff0d\u8133\u3068\u793e\u4f1a\u306e\u901a\u4fe1\u624b\u6bb5\uff0d. \u30d6\u30ec\u30a4\u30f3\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\uff0d\u8133\u3068\u793e\u4f1a\u306e\u901a\u4fe1\u624b\u6bb5\uff0d(\u793e\u56e3\u6cd5\u4eba \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a).<\/li>\n<li>Morishige, K., Kawawaki, D., Yoshioka, T., Sato, M., Kawato, M. (2009). Artifact removal using simultaneous current estimation of noise and cortical sources. <em>Advances in Neuro-Information Processing, 15th International Conference, ICONIP2008, Auckland, New Zealand, November 25-28, 2008 Revised Selected Papers, PartI(Springer)<\/em>.<\/li>\n<li>Sagara, K., Nakamura, H., Takeichi, H., Yamashita, O. (2008). Two-year activities of technical committee on brain communication. <em>IEICE Communications Society &#8211; GLOBAL NEWSLETTER<\/em>.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d, \u5ddd\u4eba\u5149\u7537 (2008). \u30d6\u30ec\u30a4\u30f3\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u306b\u3064\u3044\u3066 <em>\u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u4f1a\u8a8c\uff16\u6708\u53f7\u300c\u30d0\u30a4\u30aa\u30cb\u30c3\u30af\u30d2\u30e5\u30fc\u30de\u30f3\u2212\u751f\u4f53\u6a5f\u68b0\u878d\u5408\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u300d\u5c0f\u7279\u96c6<\/em>.<\/li>\n<li>\u4e2d\u5c71\u5f18\u9686, \u5ca1\u90e8\u9054\u54c9, \u8352\u5ddd\u96c5\u751f, \u5c39\u79ae\u5206 (2007). \u591a\u76ee\u7684\u6700\u9069\u5316\u3068\u5de5\u5b66\u8a2d\u8a08 <em>\u591a\u76ee\u7684\u6700\u9069\u5316\u3068\u5de5\u5b66\u8a2d\u8a08\u301c\u3057\u306a\u3084\u304b\u30b7\u30b9\u30c6\u30e0\u5de5\u5b66\u30a2\u30d7\u30ed\u30fc\u30c1\u301c\uff08\u73fe\u4ee3\u56f3\u66f8\uff09<\/em>.<\/li>\n<li>\u517c\u6751\u539a\u7bc4, \u524d\u7530\u65b0\u4e00, \u798f\u7530\u822a, \u77f3\u4e95\u4fe1 (2010). \u4e0d\u78ba\u5b9f\u6027\u3092\u624b\u306a\u305a\u3051\u308b\u30d9\u30a4\u30ba\u7d71\u8a08\u63a8\u6e2c\u306b\u3088\u308b\u753b\u50cf\u8d85\u89e3\u50cf. <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8a8c<\/em>, 93, 9, 759-763.<\/li>\n<li>Sagara, K., Nakamura, H., Takeichi, H., Yamashita, O. (2008). Two-year activities of technical committee on brain communication. <em>IEICE Communications Society &#8211; GLOBAL NEWSLETTER<\/em>, 25, 5\u20146<\/li>\n<\/ul>\n<h3>Conferences<\/h3>\n<ul>\n<li>Sato, M., (2013). Brain activity estimation by VBMEG (Variational Bayesian Multimodal EncephaloGraphy\uff09. <em>\u6771\u4eac\u5927\u5b66 \u751f\u7523\u6280\u8853\u7814\u7a76\u6240 \u6700\u5148\u7aef\u6570\u7406\u30e2\u30c7\u30eb\u9023\u643a\u7814\u7a76\u30bb\u30f3\u30bf\u30fc<\/em>.<\/li>\n<li>\u5409\u7530\u548c\u5b50, (2012). \u300c\u5fc3\u306e\u7406\u8ad6\u300d\u306e\u8a08\u7b97\u8ad6\u7684\u795e\u7d4c\u79d1\u5b66. <em>\u884c\u52d5\u7d4c\u6e08\u5b66\u4f1a\u7b2c6\u56de\u5927\u4f1a<\/em>.<\/li>\n<li>\u4e0b\u5ddd\u4e08\u660e, (2012). \u62e1\u6563\u5149\uff23\uff34\u306e\u9ad8\u5206\u89e3\u80fd\u5316\u306e\u305f\u3081\u306b\u5c0e\u5165\u3057\u305f\u91cd\u307f\u3064\u304d\u30b9\u30d1\u30fc\u30b9\u6b63\u5247\u5316\u306b\u3064\u3044\u3066. <em>\u7b2c2\u56de\u753b\u50cf\u9006\u554f\u984c\u306e\u6570\u7406\u89e3\u6790\u7814\u7a76\u4f1a<\/em>.<\/li>\n<li>\u5409\u7530\u548c\u5b50, (2012). \u4e88\u6e2c\u3068\u63a8\u5b9a\u306b\u57fa\u3065\u304f\u610f\u601d\u6c7a\u5b9a. <em>\u30aa\u30fc\u30bf\u30e0\u30b9\u30af\u30fc\u30eb\u300c\u8133\u79d1\u5b66\u3078\u306e\u6570\u7406\u7684\u30a2\u30d7\u30ed\u30fc\u30c1\u300d Autumn School for Computational Neuroscience (ASCONE2012)<\/em>.<\/li>\n<li>Yamashita, O., Shimokawa, T., Kosaka, T., Amita, T., Inoue, Y., Sato, M., (2012). Hierarchical Bayesian model for diffuse optical tomography of human brains. <em>6th International Conference on Soft Computing and Intelligent Systems\/ 13th International Symposium on Advanced Intelligent Systems(SCIS-ISIS2012)<\/em>.<\/li>\n<li>Sato, M., (2012). Hierarchical variational Bayesian method for diffusion optical tomography. <em>12th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics(NBNI2012)<\/em>.<\/li>\n<li>Callan, D. E., Terzibas, C., Cassel, D., Callan, A., Kawato, M., Sato, M., (2012). Differential brain activation during observation of self and other&#8217;s action in pilots and non-pilots on a complex landing task. <em>Society for Neuroscience 42nd Annual Meeting (Neuroscience2012)<\/em>.<\/li>\n<li>Yoshida, W., Seymour, B., Koltzenburg, M., Dolan, R., (2012). Pain is modulated by observational uncertainty via the PAG. <em>Society for Neuroscience 42nd Annual Meeting (Neuroscience2012)<\/em>.<\/li>\n<li>Shimokawa, T., Kosaka, T., Yamashita, O., Hiroe, N., Amita, T., Inoue, Y., Sato, M., (2012). Hierarchical Bayesian estimation with ARD prior improves depth accuracy and spatial resolution of diffuse optical tomography. <em>Functional Near Infrared Spectroscopy(fNIRS) Meeting<\/em>.<\/li>\n<li>Yoshida, W., (2012). Cooperation, belief inference and autistic mind. <em>3rd International Conference on Neuroeconomics and Neuromanagement<\/em>.<\/li>\n<li>Shinozaki, J., Hiroe, N., Yoshioka, T., Sato, M., Sekiyama, K., (2012). Visual information in audiovisual speech perception strongly affects superior temporal sulcus in English speakers more than in Japanese speakers: An effective connectivity analysis. <em>Society for Neuroscience 42nd Annual Meeting (Neuroscience2012)<\/em>.<\/li>\n<li>Yoshioka, T., Yamashita, O., Takeda, Y., Callan, D. E., Sato, M., (2012). Multivariate analysis of space&#8211;time&#8211;frequency data extracted from brain activity. <em>\u7b2c35\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2012)<\/em>.<\/li>\n<li>Cai, C., Ogawa, K., Sato, M., Imamizu, H., (2012). Localize the bereitschaftsmagnetfeld using variational bayesian multimodal encephaloGraphy (VBMEG). <em>\u7b2c35\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2012)<\/em>.<\/li>\n<li>Takeda, Y., Yamanaka, K., Yamagishi, N., Sato, M., (2012). Revealing covert brain activity from MEG data. <em>\u7b2c35\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2012)<\/em>.<\/li>\n<li>Shimokawa, T., Kosaka, T., Yamashita, O., Hiroe, N., Amita, T., Inoue, Y., Sato, M., (2012). Three-dimensional near-infrared optical tomography for functional neuroimaging. <em>\u7b2c35\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2012)<\/em>.<\/li>\n<li>Yanagisawa, T., Yamashita, O., Hirata, M., Kishima, H., Saitoh, Y., Goto, T., Shayne, M., Yoshimine, T., Kamitani, Y., (2012). Modulation of motor representation by alpha oscillation through phase-amplitude coupling. <em>\u7b2c35\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2012)<\/em>.<\/li>\n<li>Yamashita, O., Shimokawa, T., Kosaka, T., Amita, T., Inoue, Y., Sato, M., (2012). Hierarchical Bayesian model for diffusion optical tomography : human validation study. <em>\u7b2c35\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2012)<\/em>.<\/li>\n<li>\u7be0\u5d0e\u6df3, \u5ee3\u6c5f\u7dcf\u96c4, \u5409\u5ca1\u7422, \u4f50\u85e4\u96c5\u662d, \u7a4d\u5c71\u85ab, (2012). \u8996\u8074\u899a\u97f3\u58f0\u77e5\u899a\u306e\u8133\u5185\u7d71\u5408\u6a5f\u69cb\u306e\u8a00\u8a9e\u5dee. <em>\u65e5\u672c\u5fc3\u7406\u5b66\u4f1a \u7b2c76\u56de\u5927\u4f1a<\/em>.<\/li>\n<li>Fukushima, M., Yamashita, O., Kanemura, A., Ishii, S., Kawato, M., Sato, M., (2012). A state-space modeling approach for reconstructing the spatially focal and temporally smooth current sources using the spatially inhomogeneous dynamical model. <em>18th International Conference on Biomagnetism (BIOMAG2012)<\/em>.<\/li>\n<li>Takeda, Y., Yamanaka, K., Yamagishi, N., Sato, M., (2012). Revealing covert brain activity from MEG measurements. <em>18th International Conference on Biomagnetism (BIOMAG2012)<\/em>.<\/li>\n<li>\u4e0b\u5ddd\u4e08\u660e, \u5c0f\u962a\u5353\u53f2, \u5c71\u4e0b\u5b99\u4eba, \u5ee3\u6c5f\u7dcf\u96c4, \u7db2\u7530\u5b5d\u53f8, \u4e95\u4e0a\u82b3\u6d69, \u4f50\u85e4\u96c5\u662d, (2012). \u982d\u76ae\u8840\u6d41\u63a8\u5b9a\u3092\u7d44\u307f\u8fbc\u3093\u3060\u62e1\u6563\u5149\u30c8\u30e2\u30b0\u30e9\u30d5\u30a3 \u2212\uff12\u5c64\u30d5\u30a1\u30f3\u30c8\u30e0\u5b9f\u9a13\u306b\u3088\u308b\u7cbe\u5ea6\u691c\u8a3c\u2212. <em>\u7b2c15\u56de\u5149\u8133\u6a5f\u80fd\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u7814\u7a76\u4f1a<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba, \u4e0b\u5ddd\u4e08\u660e, \u5c0f\u962a\u5353\u53f2, \u7db2\u7530\u5b5d\u53f8, \u4e95\u4e0a\u82b3\u6d69, \u4f50\u85e4\u96c5\u662d, (2012). \u982d\u76ae\u8840\u6d41\u63a8\u5b9a\u3092\u7d44\u307f\u8fbc\u3093\u3060\u62e1\u6563\u5149\u30c8\u30e2\u30b0\u30e9\u30d5\u30a3 \u2212\u30d2\u30c8\u5b9f\u9a13\u306b\u3088\u308b\u7cbe\u5ea6\u691c\u8a3c\u2212. <em>\u7b2c15\u56de\u65e5\u672c\u5149\u8133\u6a5f\u80fd\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u7814\u7a76\u4f1a<\/em>.<\/li>\n<li>\u4e0b\u5ddd\u4e08\u660e, \u5c0f\u962a\u5353\u53f2, \u5c71\u4e0b\u5b99\u4eba, \u5ee3\u6c5f\u7dcf\u96c4, \u7db2\u7530\u5b5d\u53f8, \u4e95\u4e0a\u82b3\u6d69, \u4f50\u85e4\u96c5\u662d, (2012). \u9ad8\u5bc6\u5ea6\u8fd1\u8d64\u5916\u5149\u8a08\u6e2c\u306b\u3088\u308b\u4e09\u6b21\u5143\u62e1\u6563\u5149\u30c8\u30e2\u30b0\u30e9\u30d5\u30a3\u3068\u982d\u76ae\u8840\u6d41\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u9664\u53bb\u3078\u306e\u5fdc\u7528. <em>\u7b2c14\u56de\u65e5\u672c\u30d2\u30c8\u8133\u6a5f\u80fd\u30de\u30c3\u30d4\u30f3\u30b0\u5b66\u4f1a<\/em>.<\/li>\n<li>\u7be0\u5d0e\u6df3, \u7a4d\u5c71\u85ab, \u5ee3\u6c5f\u7dcf\u96c4, \u5409\u5ca1\u7422, \u4f50\u85e4\u96c5\u662d, (2012). \u30d2\u30c8\u8133\u306e\u8996\u8074\u899a\u60c5\u5831\u51e6\u7406\u306b\u304a\u3051\u308b\u53e3\u306e\u52d5\u304d\u60c5\u5831\u306e\u4e0a\u5074\u982d\u6e9d\u3078\u306e\u5165\u529b\uff1a\u8133\u9818\u57df\u9593\u7d50\u5408\u306e\u65e5\u82f1\u6bcd\u8a9e\u8005\u9593\u306e\u9055\u3044. <em>\u7b2c14\u56de\u65e5\u672c\u30d2\u30c8\u8133\u6a5f\u80fd\u30de\u30c3\u30d4\u30f3\u30b0\u5b66\u4f1a<\/em>.<\/li>\n<li>\u4e0b\u5ddd\u4e08\u660e, \u79e6\u91cd\u53f2, (2012). \u5171\u901a\u30d0\u30fc\u30b9\u30c8\u5165\u529b\u306f\u52b9\u7387\u826f\u304f\u795e\u7d4c\u540c\u671f\u3092\u8a98\u8d77\u3059\u308b. <em>\u795e\u7d4c\u30aa\u30b7\u30ec\u30fc\u30b7\u30e7\u30f3\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9<\/em>.<\/li>\n<li>\u6b66\u7530\u7950\u8f14, \u5c71\u4e2d\u5065\u592a\u90ce, \u5c71\u5cb8\u5178\u5b50, \u4f50\u85e4\u96c5\u662d, (2012). MEG\u30c7\u30fc\u30bf\u304b\u3089\u306e\u30bb\u30f3\u30b5\u9593\u3067\u540c\u671f\u3057\u305f\u03b1\u632f\u52d5\u306e\u62bd\u51fa. <em>\u795e\u7d4c\u30aa\u30b7\u30ec\u30fc\u30b7\u30e7\u30f3\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9<\/em>.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d, (2012). \u968e\u5c64\u5909\u5206\u30d9\u30a4\u30ba\u6cd5\u306b\u3088\u308b\u8133\u6d3b\u52d5\u63a8\u5b9a\u3068\u305d\u306e\u5468\u8fba\u306e\u30c8\u30d4\u30c3\u30af. <em>\u795e\u7d4c\u30aa\u30b7\u30ec\u30fc\u30b7\u30e7\u30f3\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9<\/em>.<\/li>\n<li>\u67f3\u6fa4\u7422\u53f2, \u5c71\u4e0b\u5b99\u4eba, \u5e73\u7530\u96c5\u4e4b, \u8cb4\u5cf6\u6674\u5f66, \u9f4b\u85e4\u6d0b\u4e00, \u5f8c\u85e4\u54f2, \u5409\u5cf0\u4fca\u6a39, \u795e\u8c37\u4e4b\u5eb7, (2012). Modulation of motor representation by alpha oscillation throughphase-amplitude coupling. <em>\u795e\u7d4c\u30aa\u30b7\u30ec\u30fc\u30b7\u30e7\u30f3\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9<\/em>.<\/li>\n<li>Yoshida, W., (2012). Computational social neuroscience. <em>Social Cognition, Engagement and the Second-Person-Perspective<\/em>.<\/li>\n<li>\u79e6\u91cd\u53f2, \u4e0b\u5ddd\u4e08\u660e, (2012). \u5171\u901a\u30d0\u30fc\u30b9\u30c8\u5165\u529b\u306f\u5171\u901a\u30dd\u30a2\u30bd\u30f3\u5165\u529b\u3088\u308a\u3082\u52b9\u7387\u826f\u304f\u96c6\u56e3\u540c\u671f\u3092\u8a98\u8d77\u3059\u308b. <em>\u65e5\u672c\u7269\u7406\u5b66\u4f1a\u7b2c67\u56de\u5e74\u6b21\u5927\u4f1a<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba, \u4e0b\u5ddd\u4e08\u660e, \u5c0f\u962a\u5353\u53f2, \u7db2\u7530\u5b5d\u53f8, \u4e95\u4e0a\u82b3\u6d69, \u4f50\u85e4\u96c5\u662d, (2012). \u968e\u5c64\u30d9\u30a4\u30ba\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u5149\u62e1\u6563\u30c8\u30e2\u30b0\u30e9\u30d5\u30a3\u518d\u69cb\u6210\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0. <em>\u901a\u4fe1\u884c\u52d5\u5de5\u5b66\u6642\u9650\u7814\u7a76\u5c02\u9580\u59d4\u54e1\u4f1a \u7b2c2\u56de\u7814\u7a76\u4f1a<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba, (2012). The sparse classifier for neural decoding. <em>\u5e73\u621023\u5e74\u5ea6\u7dcf\u5408\u7814\u7a76\u5927\u5b66\u9662\u5927\u5b66\u5b66\u8853\u4ea4\u6d41\u4f1a<\/em>.<\/li>\n<li>\u67f3\u6fa4\u7422\u53f2, \u5c71\u4e0b\u5b99\u4eba, \u5e73\u7530\u96c5\u4e4b, \u8cb4\u5cf6\u6674\u5f66, \u9f4b\u85e4\u6d0b\u4e00, \u5f8c\u85e4\u54f2, \u5409\u5cf0\u4fca\u6a39, \u795e\u8c37\u4e4b\u5eb7, (2012). \u611f\u899a\u904b\u52d5\u91ce\u306e\u76ae\u8cea\u8133\u6ce2\u306b\u304a\u3051\u308bPhase-amplitude coupling\u3068BMI\u3078\u306e\u5fdc\u7528. <em>\u7b2c51\u56de\u65e5\u672c\u5b9a\u4f4d\u30fb\u6a5f\u80fd\u795e\u7d4c\u5916\u79d1\u5b66\u4f1a<\/em>.<\/li>\n<li>Morishige, K., Kawato, M., Sato, M., (2011). Online EEG denoising method based on generalized inverse filter on different days. <em>\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u7b2c21\u56de\u5168\u56fd\u5927\u4f1a(JNSS2011)<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba, (2011). \u9ad8\u7a7a\u9593\u89e3\u50cf\u5ea6Diffusion Optical Tomography\u306e\u5c55\u958b. <em>\u5927\u962a\u5927\u5b66-NICT-ATR\u8133\u878d\u5408\u7814\u7a76\u7b2c1\u56deCiNet\u5168\u4f53\u4f1a\u8b70<\/em>.<\/li>\n<li>Morishige, K., Yoshioka, T., Sato, M., Kawato, M., (2011). Systematic determination of hyperparameters on VBMEG improves the estimation of cortical and artifactual dipole currents. <em>Society for Neuroscience 41th Annual Meeting(Neuroscience2011)<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba, (2011). \u8133\u60c5\u5831\u30c7\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u306e\u9769\u65b0. <em>\u7b2c41\u56de\u65e5\u672c\u81e8\u5e8a\u795e\u7d4c\u751f\u7406\u5b66\u4f1a\u30fb\u5b66\u8853\u5927\u4f1a<\/em>.<\/li>\n<li>\u5409\u6751\u5948\u6d25\u6c5f, Dasalla, C. S., \u82b1\u5ddd\u9686, \u4f50\u85e4\u96c5\u662d, \u5c0f\u6c60\u5eb7\u6674, (2011). \u4fe1\u53f7\u6e90\u63a8\u5b9a\u3092\u7528\u3044\u305f\u8133\u6ce2\u304b\u3089\u7b4b\u6d3b\u52d5\u4fe1\u53f7\u306e\u518d\u69cb\u7bc9. <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/li>\n<li>Fukushima, M., Yamashita, O., Kanemura, A., Ishii, S., Kawato, M., Sato, M., (2011). Localizing focal current sources from MEG data based on state-space approach. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Takeda, Y., Yamanaka, K., Yamagishi, N., Sato, M., (2011). Estimating waveforms common across trials from MEG data in various stimulus-response tasks. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Shimokawa, T., Kosaka, T., Yamashita, O., Hiroe, N., Amita, T., Inoue, Y., Sato, M., (2011). Hierarchical Bayesian estimation improves the spatial resolution of diffuse optical tomography: a test with head phantom experiment. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Yoshioka, T., Yamashita, O., Takeda, Y., Callan, D. E., Sato, M., (2011). Feature selection for brain activity data on cortex-time-frequency space. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Callan, D. E., Gamez, M., Cassel, D., Kawato, M., Sato, M., (2011). Goal directed modulation of visual areas predicts direction of movement during a complex airplane piloting task. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Yamashita, O., Sato, M., (2011). Analysis of classifier variability between sessions and subjects for constructing brain machine interface using multiple subjects data. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Morimoto, J., Umeda, T., Nishimura, Y., Isa, T., Kawato, M., Toyama, K., (2011). Canonical correlation analysis (CCA) of multi-joint motion (JM) and dorsal root ganglion (DRG) neuronal activities. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Morishige, K., Aihara, T., Kawato, M., Osu, R., Sato, M., (2011). Isolating cortical activities from artifacts in simulated EEG data during smooth pursuit eye movements. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Yoshimura, N., Satsuma, A., Dasalla, C. S., Hanakawa, T., Sato, M., Koike, Y., (2011). Classifying vowel speech imagery using EEG cortical currents. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Aihara, T., Takeda, Y., Takeda, K., Yasuda, W., Sato, T., Otaka, Y., Hanakawa, T., Honda, M., Liu, M., Kawato, M., Sato, M., Osu, R., (2011). EEG current source estimation with NIRS as a hierarchial prior. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Onizuka, M., Toyama, K., Schweighofer, N., Katori, Y., Aihara, K., Lang, E. J., Kawato, M., (2011). Similarity analysis using both PCA and ANOVA between experimental and simulation data of spike trains from IO. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Ogawa, K., Sato, M., Imamizu, H., (2011). Directional tuning of cortical activity estimated by vbmeg during wrist movements. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Yanagisawa, T., Yamashita, O., Hirata, M., Kishima, H., Saitoh, Y., Goto, T., Yoshimine, T., Kamitani, Y., (2011). Gamma amplitude coupled with alpha phase represents motor information before actual movements. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>Sato, T., Takeda, K., Yamashita, O., Inoue, Y., Otaka, Y., Wada, Y., Kawato, M., Sato, M., Osu, R., (2011). Reduction of the skin blood flow artifact from near-infrared spectroscopy signals. <em>\u7b2c34\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2011)<\/em>.<\/li>\n<li>\u6b66\u7530\u7950\u8f14, \u5c71\u4e2d\u5065\u592a\u90ce, \u5c71\u5cb8\u5178\u5b50, \u4f50\u85e4\u96c5\u662d, (2011). EEG\/MEG\u30c7\u30fc\u30bf\u304b\u3089\u306e\u8a66\u884c\u9593\u3067\u5171\u901a\u3057\u305f\u6ce2\u5f62\u306e\u63a8\u5b9a. <em>\u533b\u7528\u8a3a\u65ad\u306e\u305f\u3081\u306e\u5fdc\u7528\u7d71\u8a08\u6570\u7406\u306e\u65b0\u5c55\u958bIII<\/em>.<\/li>\n<li>\u4e0b\u5ddd\u4e08\u660e, \u5c0f\u962a\u5353\u53f2, \u5c71\u4e0b\u5b99\u4eba, \u5ee3\u6c5f\u7dcf\u96c4, \u7db2\u7530\u5b5d\u53f8, \u4e95\u4e0a\u82b3\u6d69, \u4f50\u85e4\u96c5\u662d, (2011). \u968e\u5c64\u30d9\u30a4\u30ba\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u62e1\u6563\u5149\u30c8\u30e2\u30b0\u30e9\u30d5\u30a3 \u2212\u5b9f\u9a13\u306b\u3088\u308b\u7a7a\u9593\u5206\u89e3\u80fd\u306e\u8a55\u4fa1\u2212. <em>\u7b2c14\u56de\u65e5\u672c\u5149\u8133\u6a5f\u80fd\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u7814\u7a76\u4f1a<\/em>.<\/li>\n<li>Fukushima, M., Yamashita, O., Kanemura, A., Ishii, S., Kawato, M., Sato, M., (2011). Localizing focal sources from MEG by efficient inference in a high dimensional state-space model. <em>The Organization for Human Brain Mapping(HBM2011),17th Annual Meeting.<\/em><\/li>\n<li>Yoshimura, N., Satsuma, A., Dasalla, C. S., Hanakawa, T., Sato, M., Koike, Y., (2011). Usability of EEG cortical currents in classification of vowel speech imagery. <em>International Conference on Virtual Rehabilitation(ICVR2011)<\/em>.<\/li>\n<li>Callan, D. E., Gamez, M., Cassel, D., Kawato, M., Sato, M., (2011). Brain imaging airplane piloting performance. <em>8th Annual World Congress of IBMISPS on Brain, Spinal Cord Mapping and Image Guided Therapy.<\/em><\/li>\n<li>Goldhahn, D., Callan, D. E., Lohmann, G., Turner, R., (2011). Song and speech\u2212perception and covert production: new findings using multi-voxel pattern analysis. <em>International Society for Magnet 19th Annual Meeting and Exhibition(ISMRM2011)<\/em><\/li>\n<li>\u5bae\u672c\u6566\u53f2, \u6e21\u8fba\u4e00\u5e06, \u6c60\u7530\u548c\u53f8, \u4f50\u85e4\u96c5\u662d, (2011). NIRS-DOT\u306e\u305f\u3081\u306e\u5909\u5206\u30d9\u30a4\u30ba\u306b\u3088\u308b\u9006\u554f\u984c\u89e3\u6cd5. <em>\u7b2c55\u56de\u30b7\u30b9\u30c6\u30e0\u5236\u5fa1\u60c5\u5831\u5b66\u4f1a\u7814\u7a76\u767a\u8868\u8b1b\u6f14\u4f1a<\/em>.<\/li>\n<li>\u4f50\u85e4\u8cb4\u7d00, \u6b66\u7530\u6e56\u592a\u90ce, \u5c71\u4e0b\u5b99\u4eba, \u4e95\u4e0a\u82b3\u6d69, \u5927\u9ad8\u6d0b\u5e73, \u548c\u7530\u5b89\u5f18, \u5ddd\u4eba\u5149\u7537, \u4f50\u85e4\u96c5\u662d, \u5927\u9808\u7406\u82f1\u5b50, (2011). \u8fd1\u8d64\u5916\u5206\u5149\u6cd5\uff08NIRS\uff09\u306b\u304a\u3051\u308b\u982d\u76ae\u8840\u6d41\u306e\u5f71\u97ff\u3068\u9664\u53bb\u624b\u6cd5\u306e\u63d0\u6848. \u7b2c18\u56de\u8133\u6a5f\u80fd\u3068\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u7814\u7a76\u4f1a\u5b66\u8853\u96c6\u4f1a.<\/li>\n<li>\u4e0b\u5ddd\u4e08\u660e, \u5c0f\u962a\u5353\u53f2, \u5c71\u4e0b\u5b99\u4eba, \u4f50\u85e4\u96c5\u662d, (2011). \u8fd1\u8d64\u5916\u5206\u5149\u8a08\u6e2c\u306b\u304a\u3051\u308b\u982d\u76ae\u8840\u6d41\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u9664\u53bb\u6cd5. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a.<\/li>\n<li>\u7a4d\u5c71\u85ab, \u4e45\u6c38\u8061\u5b50, \u7be0\u5d0e\u6df3, (2011). \u8996\u8074\u899a\u97f3\u58f0\u77e5\u899a\u306b\u304a\u3051\u308b\u8a00\u8a9e\u5dee\u306e\u8d77\u6e90\u3092\u6c42\u3081\u3066\uff1a\u8133\u6a5f\u80fd\u8a08\u6e2c\u306b\u3088\u308b\u691c\u8a0e. \u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2011\u5e74\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a.<\/li>\n<li>\u5927\u9808\u7406\u82f1\u5b50, \u5ddd\u4eba\u5149\u7537, \u4f50\u85e4\u96c5\u662d, \u6b66\u7530\u6e56\u592a\u90ce, \u76f8\u539f\u5b5d\u6b21, \u5b89\u7530\u6052 (2011). NIRS\u3068EEG\u3092\u4f7f\u3063\u305f\u8133\u6d3b\u52d5\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u301c\u65b0\u3057\u3044\u8133\u5352\u4e2d\u30ea\u30cf\u30d3\u30ea\u3092\u76ee\u6307\u3057\u3066\u301c <em>\u7b2c\uff13\u56de\u8133\u30d7\u30ed\u516c\u958b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u3000\u672a\u6765\u3092\u62d3\u304f\u8133\u79d1\u5b66\u7814\u7a76<\/em>.<\/li>\n<li>\u7a4d\u5c71\u85ab, \u4e45\u6c38\u8061\u5b50, \u7be0\u5d0e\u6df3 (2010). \u58f0\u3068\u53e3\u306e\u52d5\u304d\u306b\u3088\u308b\u97f3\u58f0\u77e5\u899a\u3092\u3081\u3050\u3063\u3066 <em>\u65e5\u672c\u8a8d\u77e5\u79d1\u5b66\u4f1a2010\u5e74\u51ac\u306e\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\/\u8ad6\u6587\u96c6<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba (2010). \u73fe\u5728\u306e\u9ad8\u5bc6\u5ea6ECoG\u96fb\u6975\u9593\u9694\u3068\u96fb\u6975\u6570\u306b\u304a\u3044\u3066\u6df1\u3055\u65b9\u5411\u306e\u96fb\u6d41\u6e90\u63a8\u5b9a\u306f\u53ef\u80fd\u304b\uff1f <em>\u6587\u79d1\u7701\u8133\u79d1\u5b66\u7814\u7a76\u6226\u7565\u63a8\u9032\u30d7\u30ed\u30b0\u30e9\u30e0\u5206\u79d1\u4f1aA,B<\/em>.<\/li>\n<li>\u4e0b\u5ddd\u4e08\u660e, \u5c0f\u962a\u5353\u53f2, \u5c71\u4e0b\u5b99\u4eba, \u4f50\u85e4\u96c5\u662d (2010). \u8fd1\u8d64\u5916\u5206\u5149\u8a08\u6e2c\u306b\u3088\u308b\u8133\u6d3b\u52d5\u6e90\u63a8\u5b9a <em>\u7d71\u8a08\u6570\u7406\u7814\u7a76\u6240\u7814\u7a76\u4f1a \u795e\u7d4c\u79d1\u5b66\u3068\u7d71\u8a08\u79d1\u5b66\u306e\u5bfe\u8a71<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba (2010). \u30b9\u30d1\u30fc\u30b9\u5224\u5225\u5668\u306e \u30d6\u30ec\u30a4\u30f3\u30fb\u30de\u30b7\u30f3\u30fb\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u3078\u306e\u5fdc\u7528 \u301c\u30b9\u30d1\u30fc\u30b9\u5224\u5225\u624b\u6cd5\u306f\u4f55\u6545\u6709\u52b9\u304b\uff1f <em>\u7d71\u8a08\u6570\u7406\u7814\u7a76\u6240\u7814\u7a76\u4f1a\u3000\u795e\u7d4c\u79d1\u5b66\u3068\u7d71\u8a08\u79d1\u5b66\u306e\u5bfe\u8a71<\/em>.<\/li>\n<li>Takeda, Y., Yamanaka, K., Sato, M. (2010). Estimating waveforms common across trials from MEG during a Go\/NoGo task. <em>Society for Neuroscience 40th Annual Meeting (Neuroscience2010)<\/em>.<\/li>\n<li>Aihara, T., Sato, M., Yasuda, W., Takeda, K., Kawato, M., Osu, R. (2010). EEG source current estimation based on variational Bayes. <em>Society for Neuroscience 40th Annual Meeting(Neuroscience2010)<\/em>.<\/li>\n<li>Callan, D. E., Schweighofer, N., Kawato, M., Sato, M. (2010). The cerebellum and premotor cortex are differentially implicated in error-feedback and exemplar based training respectively on a temporal judgment task. <em>Society for Neuroscience 40th Annual Meeting (Neuroscience2010)<\/em>.<\/li>\n<li>Onizuka, M., Schweighofer, N., Katori, Y., Aihara, K., Toyama, K., Lang, E. J., Kawato, M. (2010). Olivary electrical coupling may be regulated by GABA release from deep cerebellar nuclei. <em>Society for Neuroscience 40th Annual Meeting(Neuroscience2010)<\/em>.<\/li>\n<li>Patel, A. D., Callan, D. E. (2010). Song-sensitive and song-selective regions of the human brain. <em>Neurobiology of Language Conference(NLC2010)<\/em>.<\/li>\n<li>Kim, .. S., Callan, D. E., Schaal, S., Schweighofer, N. (2010). Fast reinforcement learning of a motor task via adaptive exploration in humans. <em>Society for Neuroscience 40th Annual Meeting(Neuroscience2010)<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba (2010). \u60c5\u5831\u7d71\u5408 &#8211; \u795e\u7d4c\u79d1\u5b66\u306e\u8a71\u984c\u304b\u3089 &#8211; <em>\u30e9\u30a4\u30d5\u30b5\u30a4\u30a8\u30f3\u30b9\u5206\u91ce\u3068\u306e\u5354\u50cd\u306b\u3088\u308b\u65b0\u3057\u3044\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u65b9\u6cd5\u8ad6\u306e\u69cb\u7bc9<\/em>.<\/li>\n<li>Shimizu, Y., Sato, M., Kawato, M., Imamizu, H. (2010). Real-time Reconstruction of Single Trial Wrist Movement Trajectories from ME G derived cortical current. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Yoshioka, T., Morishige, K., Kawato, M., Sato, M. (2010). Gaussian mixture prior distribution on artifactual current for MEG inverse problem. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Morishige, K., Yoshioka, T., Sato, M., Kawato, M. (2010). Methodology for the cortical and artifactual dipole current estimation from MEG measurement. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Callan, D. E., Gamez, M., Kawato, M., Sato, M. (2010). Right premotor cortex mediates representational transform for remote over egocentric perceptual-motor control of simulated red bull air race. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Takeda, Y., Yamashita, O., Hiroe, N., Sato, M. (2010). Effectiveness of hierarchical Bayesian source current estimation on EEG-based brain-computer interfaces. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Kanemura, A., Sato, M. (2010). Maximum a posteriori tomographic image reconstruction with a dense image patche prior. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Fukushima, M., Yamashita, O., Ishii, S., Kawato, M., Sato, M. (2010). Magnetoencephalography (MEG) source localization method with temporal smoothness constraint based on high-dimensional state space model. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Choi, K., Takeda, Y., Sato, M. (2010). A EEG-based real-time motor imaginary training system for brain-machine interface (BMI). <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Shimokawa, T., Kosaka, T., Yamashita, O., Sato, M. (2010). Simulation study on the inverse problem of diffuse optical tomography with near-infrared spectroscopy. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d (2010). \u968e\u5c64\u30d9\u30a4\u30ba\u6cd5\u306b\u3088\u308b\u96fb\u6d41\u6e90\u63a8\u5b9a\u306e\u539f\u7406\u3068\u8133\u7814\u7a76\u3078\u306e\u5fdc\u7528 <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Kosaka, T., Shimokawa, T., Yamashita, O., Sato, M. (2010). A comparison of numerical methods for the forward model of diffuse optical tomography. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Aihara, T., Sato, M., Yasuda, W., Takeda, K., Kawato, M., Osu, R. (2010). EEG current source estimation based on variational Bayes &#8211; a simulation study. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Yasuda, W., Aihara, T., Takeda, K., Yamashita, O., Sato, M., Otaka, Y., Kawato, M., Osu, R. (2010). Brain imaging of motor control activity using EEG and a combination of Hierarchical Variational Bayesian method and Sparse Logistic Regression.. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Takeda, K., Yasuda, W., Aihara, T., Otaka, Y., Sato, M., Kawato, M., Osu, R. (2010). Load-dependent and abnormal lateralization during paretic finger movement: A NIRS-EEG study. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Yamashita, O., Sato, M. (2010). A new method to quantify the cross-frequency-coupling. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Hiroe, N., Shinozaki, J., Yoshioka, T., Sato, M., Sekiyama, K. (2010). Neural processing of audio-visual integration in speech perception:an MEG study. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Shinomoto, S., Shimazaki, H., Shimokawa, T. (2010). Characterizing neuronal firing with the rate and the irregularity. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Callan, D. E. (2010). Brain regions differentially involved with multisensory and visual only speech gesture information. <em>The 9th International Conference on Auditory-Visual Speech Processing (AVSP2010)<\/em>.<\/li>\n<li>Shinozaki, J., Sekiyama, K., Hiroe, N., Yoshioka, T., Sato, M. (2010). Impact of language on audiovisual speech perception examined by fMRI. <em>9th International Conference on Auditory-Visual Speech Processing(AVSP2010)<\/em>.<\/li>\n<li>Miyamoto, A., Watanabe, K., Ikeda, K., Sato, M. (2010). Variational Bayes method for NIRS-DOT inverse problem and its phase transition. <em>\u7b2c33\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\u3001\u7b2c53\u56de\u65e5\u672c\u795e\u7d4c\u5316\u5b66\u4f1a\u5927\u4f1a\u3001\u7b2c20\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5927\u4f1a(Neuro2010)<\/em>.<\/li>\n<li>Fukushima, M., Yamashita, O., Ishii, S., Kawato, M., Sato, M. (2010). Spatio-temporal priors for the MEG inverse problem: a state space approach. <em>5th International Summer School in Biomedical Engineering &#8211; Multimodal integration of functional brain measurements<\/em>.<\/li>\n<li>Callan, D. E. (2010). Multimodal brain imaging of complex perceptual motor skills. <em>Workshop on Brain Measurements<\/em>.<\/li>\n<li>\u5bae\u672c\u6566\u53f2, \u6e21\u8fba\u4e00\u5e06, \u6c60\u7530\u548c\u53f8, \u4f50\u85e4\u96c5\u662d (2010). \u968e\u5c64\u30d9\u30a4\u30ba\u6cd5\u3092\u7528\u3044\u305fNIRS-DOT\u306e\u9006\u554f\u984c\u89e3\u6cd5\u3068\u305d\u306e\u76f8\u56f3 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a\uff08IEICE Technical Report\uff09<\/em>.<\/li>\n<li>Callan, D. E., Gamez, M., Hayashi, R., Callan, A. M., Sato, M., Kawato, M. (2010). Differential brain activity for egocentric and allocentric control of simulated Red Bull Air Race. <em>The Organization for Human Brain Mapping(HBM2010),16th Annual Meeting\/Online Abstracr<\/em>.<\/li>\n<li>\u76f8\u539f\u5b5d\u6b21, \u6b66\u7530\u6e56\u592a\u90ce, \u5b89\u7530\u6052, \u5927\u9ad8\u6d0b\u5e73, \u7530\u4e2d\u609f\u5fd7, \u82b1\u5ddd\u9686, \u672c\u7530\u5b66, \u4f50\u85e4\u96c5\u662d, \u5ddd\u4eba\u5149\u7537, \u5927\u9808\u7406\u82f1\u5b50 (2010). \u904b\u52d5\u8ab2\u984c\u4e2d\u306eEEG\u30c7\u30fc\u30bf\u304b\u3089\u8133\u5185\u96fb\u6d41\u6e90\u3092\u30d9\u30a4\u30ba\u63a8\u5b9a\u3059\u308b <em>\u751f\u7406\u5b66\u7814\u7a76\u6240\u7814\u7a76\u4f1a \u7b2c4\u56deMotor Control\u7814\u7a76\u4f1a\/\u30d7\u30ed\u30b0\u30e9\u30e0<\/em>.<\/li>\n<li>Shimokawa, T., Shinomoto, S. (2010). The set of ISI metrics diagonalizing the Fisher information matrix. <em>5th International Workshop Statistical Analysis of Neuronal Data (SAND5)<\/em>.<\/li>\n<li>Sato, M. (2010). Noninvasive brain imaging and BMI. <em>Workshop on the state-space analysis<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba (2010). \u30d6\u30ec\u30a4\u30f3\u30de\u30b7\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u5165\u9580\u3000- \u5b9f\u9a13\u304b\u3089\u89e3\u6790\u307e\u3067- <em>\u7b2c12\u56de\u795e\u5948\u5ddd\u30cb\u30e5\u30fc\u30ed\u30b5\u30a4\u30a8\u30f3\u30b9\u30b8\u30e7\u30a4\u30f3\u30c8\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9<\/em>.<\/li>\n<li>\u5bae\u672c\u6566\u53f2, \u6e21\u8fba\u4e00\u5e06, \u6c60\u7530\u548c\u53f8, \u4f50\u85e4\u96c5\u662d (2010). \u968e\u5c64\u5909\u5206\u30d9\u30a4\u30ba\u6cd5\u306b\u3088\u308bNIRS-DOT\u306e\u9006\u554f\u984c\u89e3\u6cd5 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a\uff08IEICE Technical Report\uff09<\/em>.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d (2010). \u975e\u4fb5\u8972\u8a08\u6e2c\u306b\u3088\u308b\u8133\u6d3b\u52d5\u63a8\u5b9a\u3068\u305d\u306eBMI\u5fdc\u7528 <em>\u6771\u5927\u9023\u643a\u8b1b\u5ea7\uff1a\u7b2c9\u56de\u5148\u7aef\u30e1\u30c7\u30a3\u30a2\u5de5\u5b66\u7279\u8ad6<\/em>.<\/li>\n<li>\u6b66\u7530\u7950\u8f14, \u4f50\u85e4\u96c5\u662d, \u5c71\u4e2d\u5065\u592a\u90ce, \u91ce\u5d0e\u5927\u5730, \u5c71\u672c\u7fa9\u6625 (2009). \u8133\u6ce2\u304b\u3089\u8a66\u884c\u9593\u3067\u5171\u901a\u3057\u305f\u6ce2\u5f62\u3092\u63a8\u5b9a\u3059\u308b\u624b\u6cd5\u306e\u958b\u767a <em>\u7b2c3\u56de\u30d6\u30ec\u30a4\u30f3\u30fb\u30d0\u30a4\u30aa\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u7814\u7a76\u4f1a<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba (2009). \u6709\u52b9\u306a\u5909\u6570\u3092\u81ea\u52d5\u9078\u629e\u3059\u308b\u30b9\u30d1\u30fc\u30b9\u5236\u7d04\u3092\u7528\u3044\u305f\u5224\u5225\u30fb\u56de\u5e30\u624b\u6cd5 <em>\u6587\u90e8\u79d1\u5b66\u7701\u8133\u79d1\u5b66\u7814\u7a76\u6226\u7565\u63a8\u9032\u30d7\u30ed\u30b0\u30e9\u30e0 \u5206\u79d1\u4f1a<\/em>.<\/li>\n<li>Miyawaki, Y., Uchida, H., Yamashita, O., Sato, M., Morito, Y., Tanabe, H. C., Sadato, N., Kamitani, Y. (2009). Visual image reconstruction from human brain activity:A modular decoding approach. <em>International Workshop on Statistical-Mechanical Informatics 2009(IW-SMI2009)<\/em>.<\/li>\n<li>Takeda, Y., Sato, M., Yamanaka, K., Nozaki, D., Yamamoto, Y. (2009). Generation of the method to estimate EEG waveforms common across trials. <em>\u7b2c32\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2009)<\/em>.<\/li>\n<li>Callan, D. E., Schweighofer, N., Sato, M., Kawato, M. (2009). Supervised error feedback learning and unsupervised exemplar learning of a temporal judgment task differentially activate cerebellum and parietal cortex. <em>\u7b2c32\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2009)<\/em>.<\/li>\n<li>Yoshioka, T., Morishige, K., Sato, M., Kawato, M. (2009). An analysis of MEG artifacts caused by heartbeat. <em>\u7b2c32\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2009)<\/em>.<\/li>\n<li>Onizuka, M., Schweighofer, N., Katori, Y., Aihara, K., Ogasawara, H., Toyama, K., Kawato, M. (2009). Firing pattern dynamics of the inferior olive neuron network: a simulation study. <em>\u7b2c32\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\uff08Neuroscience2009\uff09<\/em>.<\/li>\n<li>Imamizu, H., Toda, A., Kawato, M., Sato, M. (2009). Reconstruction of wrist movement trajectories from magnetoencephalography source currents estimated by a hierarchical Bayesian method. <em>\u7b2c32\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2009)<\/em>.<\/li>\n<li>Yamashita, O. (2009). Sparse estimation methods for classifying brain activities. <em>BSI\u30d5\u30a9\u30fc\u30e9\u30e0<\/em>.<\/li>\n<li>Callan, D. E., Schweighofer, N., Sato, M., Kawato, M. (2009). Brain regions involved with internal temporal duration judgment. <em>The Organization for Human Brain Mapping(HBM2009),15th Annual Meeting\/Supplement<\/em>.<\/li>\n<li>Hubbard, A. L., Mcnealy, K., Scott, A., Callan, D. E., Dapretto, M. (2009). Disordered neural processing of co-speech beat gesture in children with autism spectrum disorder. <em>NeuroImage<\/em>.<\/li>\n<li>\u5357\u90e8\u529f\u592b, \u5927\u9808\u7406\u82f1\u5b50, \u4f50\u85e4\u96c5\u662d, \u5b89\u85e4\u5275\u4e00, \u5ddd\u4eba\u5149\u7537, \u5185\u85e4\u6804\u4e00 (2009). \u8fd1\u8d64\u5916\u5206\u5149\u8a08\u6e2c\u753b\u50cf\u6cd5\u306b\u3088\u308b\u7b4b\u51fa\u529b\u306e\u518d\u69cb\u6210 <em>\u751f\u7406\u5b66\u7814\u7a76\u6240\u7814\u7a76\u4f1a \u7b2c3\u56deMotor Control\u7814\u7a76\u4f1a\/\u30d7\u30ed\u30b0\u30e9\u30e0<\/em>.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d (2009). \u30d9\u30a4\u30ba\u63a8\u5b9a\u306b\u3088\u308b\u8133\u6d3b\u52d5\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u3068\u305d\u306e\u5fdc\u7528 <em>\u7b2c24\u56de\u65e5\u672c\u751f\u4f53\u78c1\u6c17\u5b66\u4f1a\u5927\u4f1a\/\u65e5\u672c\u751f\u4f53\u78c1\u6c17\u5b66\u4f1a\u8a8c\u7279\u5225\u53f7\uff0c\u7b2c24\u56de\u65e5\u672c\u751f\u4f53\u78c1\u6c17\u5b66\u4f1a\u5927\u4f1a\u8ad6\u6587\u96c6<\/em>.<\/li>\n<li>\u5bae\u8107\u967d\u4e00, \u5185\u7530\u8087, \u5c71\u4e0b\u5b99\u4eba, \u4f50\u85e4\u96c5\u662d, \u68ee\u6238\u52c7\u4ecb, \u7530\u908a\u5b8f\u6a39, \u5b9a\u85e4\u898f\u5f18, \u795e\u8c37\u4e4b\u5eb7 (2009). \u591a\u91cd\u89e3\u50cf\u5ea6\u5c40\u6240\u753b\u50cf\u5fa9\u53f7\u5668\u3092\u7528\u3044\u305f\u8133\u6d3b\u52d5\u304b\u3089\u306e\u8996\u899a\u50cf\u518d\u69cb\u6210 <em>\u30d6\u30ec\u30a4\u30f3\u30fb\u30d0\u30a4\u30aa\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u7b2c2\u56de\u7814\u7a76\u4f1a<\/em>.<\/li>\n<li>\u6b66\u7530\u7950\u8f14, \u4f50\u85e4\u96c5\u662d, \u5c71\u4e2d\u5065\u592a\u90ce, \u91ce\u5d0e\u5927\u5730, \u5c71\u672c\u7fa9\u6625 (2009). \u523a\u6fc0\u306b\u540c\u671f\u53ca\u3073\u975e\u540c\u671f\u3057\u305f\u8133\u6ce2\u6210\u5206\u306e\u62bd\u51fa\u624b\u6cd5\u306e\u4e00\u822c\u5316 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba (2009). \u8133\u6d3b\u52d5\u304b\u3089\u306e\u8996\u899a\u753b\u50cf\u518d\u69cb\u6210\u3000\u2212\u3000\u30c7\u30fc\u30bf\u89e3\u6790\u306e\u8996\u70b9\u304b\u3089 <em>\u7d71\u8a08\u6570\u7406\u7814\u7a76\u6240\u30bb\u30df\u30ca\u30fc<\/em>.<\/li>\n<li>Callan, D. E. (2008). Brain regions involved with speech production mediate phonetic perceptual identification performance. <em>\u8074\u899a\u7814\u7a76\u4f1a\/\u8074\u899a\u7814\u7a76\u4f1a\u8cc7\u6599<\/em>.<\/li>\n<li>Morishige, K., Kawawaki, D., Yoshioka, T., Sato, M., Kawato, M. (2008). Artifact removal using simultaneous current estimation of noise and cortical sources. <em>International Conference on Neural Information Processing (15th ICONIP 2008)<\/em>.<\/li>\n<li>Callan, D. E., Callan, A. M., Kawato, M. (2008). Speech perception performance is mediated by brain regions involved with speech production. <em>X.International Conference on Cognitive Neuroscience(ICON10) \/Abstract book<\/em>.<\/li>\n<li>Souza, A. C., Callan, D. E., Yehia, H. C. (2008). Brain activity underlying attention related auditory perceptual learning. <em>X.International Conference on Cognitive Neuroscience(ICON10) \/Abstract Book<\/em>.<\/li>\n<li>Sato, M. (2008). Hierarchical Bayesian approach for multi-modal neuro-imaging. <em>International Conference on Biomagnetism(16th BIOMAG2008)<\/em>.<\/li>\n<li>Sato, M. (2008). Hierarchical Bayesian models for source localization. <em>International Conference on Biomagnetism(16th BIOMAG2008)<\/em>.<\/li>\n<li>Kawawaki, D., Shibata, T., Yamashita, O., Fujiwara, Y., Morishige, K., Sato, M., Kawato, M. (2008). Cortical current sources estimated by VBMEG better predict visual target motion during covert pursuit than MEG sensor signals. <em>\u7b2c 31 \u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2008)<\/em>.<\/li>\n<li>Yoshioka, T., Sato, M., Toyama, K., Yamashita, O., Kawato, M. (2008). Evaluation of hierarchical Bayesian method for current source estimation from MEG. <em>\u7b2c 31 \u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2008)<\/em>.<\/li>\n<li>Yamashita, O., Sato, M., Yoshioka, T., Tong, F., Kamitani, Y. (2008). New classification algorithm using sparse estimation for fMRI decoding. <em>\u7b2c 31 \u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2008)<\/em>.<\/li>\n<li>Callan, D. E., Kawato, M. (2008). Mirror neuron system mediates perceptual performance. <em>\u7b2c 31 \u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2008)<\/em>.<\/li>\n<li>Hiroe, N., Osako, M., Sato, M. (2008). Sensorimotor cortics activation analysis by Hierarchical Bayesian Estimation (VBMEG). <em>\u7b2c 31 \u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2008)<\/em>.<\/li>\n<li>Nambu, I., Osu, R., Ando, S., Sato, M., Naito, E., Kawato, M. (2008). Reconstruction of finger force from NIRS signal\u3000 -Methodological perspective-. <em>\u7b2c 31 \u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a(Neuroscience2008)<\/em>.<\/li>\n<li>\u68ee\u91cd\u5065\u4e00, \u5ddd\u8107\u5927, \u4f50\u85e4\u96c5\u662d, \u5ddd\u4eba\u5149\u7537 (2008). \u8907\u6570\u306e\u30ce\u30a4\u30ba\u6e90\u3068\u5927\u8133\u76ae\u8cea\u306e\u540c\u6642\u96fb\u6d41\u63a8\u5b9a\u306b\u3088\u308bMEG\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u9664\u53bb <em>\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u30d0\u30a4\u30aa\u60c5\u5831\u5b66\u7814\u7a76\u4f1a\u3001\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\u3001\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u975e\u7dda\u5f62\u554f\u984c\u7814\u7a76\u4f1a \u5408\u540c\u7814\u7a76\u4f1a2008\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d (2008). NIRS+EEG <em>\u751f\u7406\u5b66\u7814\u7a76\u6240 \u591a\u6b21\u5143\u5171\u540c\u8133\u79d1\u5b66\u63a8\u9032\u30bb\u30f3\u30bf\u30fc \u30ad\u30c3\u30af\u30aa\u30d5\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0<\/em>.<\/li>\n<li>Kobayashi, Y., Okada, K., Toyama, K., Isa, T. (2008). Different groups of pedunculopontine tegmental nucleus neurons signal the expected and actual task reward. <em>Society for Neuroscience 37th Annual Meeting(Neuroscience2007)<\/em>.<\/li>\n<li>\u67f3\u6fa4\u7422\u53f2, \u5e73\u7530\u96c5\u4e4b, \u9f4b\u85e4\u6d0b\u4e00, \u52a0\u85e4\u5929\u7f8e, \u6f81\u8c37\u5927\u8f14, \u798f\u9593\u826f\u5e73, \u8cb4\u5cf6\u6674\u5f66, \u62bc\u91ce\u609f, \u5f8c\u85e4\u54f2, \u7d30\u898b\u6643\u4e00, \u795e\u8c37\u4e4b\u5eb7, \u5409\u5cf0\u4fca\u6a39 (2008). \u76ae\u8cea\u8133\u6ce2\u3092\u7528\u3044\u305f\u8133\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u9023\u7d50 <em>\u7b2c 47 \u56de\u65e5\u672c\u5b9a\u4f4d\u30fb\u6a5f\u80fd\u795e\u7d4c\u5916\u79d1\u5b66\u4f1a<\/em>.<\/li>\n<li>Miyawaki, Y., Uchida, H., Yamashita, O., Sato, M., Tanabe, H. C., Sadato, N., Kamitani, Y. (2007). Visual image reconstruction from human cortical activity by combination of multi-resolution local image decoders. <em>Society for Neuroscience 37th Annual Meeting(Neuroscience 2007)<\/em>.<\/li>\n<li>Yamagishi, N., Callan, D. E., Anderson, S. J., Kawato, M. (2007). Levels of top-down attentional modulation are correlated with human behavioral performance. <em>Society for Neuroscience 37th Annual Meeting (Neuroscience 2007) s<\/em>.<\/li>\n<li>Toda, A., Imamizu, H., Sato, M., Wada, Y., Kawato, M. (2007). Reconstruction of temporal movement from single-trial non-invasive brain activity : A hierarchical Bayesian method. <em>International Conference on Neural Information Processing(14th ICONIP2007)<\/em>.<\/li>\n<li>Sato, M., Yoshioka, T. (2007). Hierarchical Bayesian inference of brain activity. <em>International Conference on Neural Information Processing(14th ICONIP2007)<\/em>.<\/li>\n<li>\u67f3\u6fa4\u7422\u53f2, \u5e73\u7530\u96c5\u4e4b, \u6f81\u8c37\u5927\u8f14, \u8cb4\u5cf6\u6674\u5f66, \u9f4b\u85e4\u6d0b\u4e00, \u52a0\u85e4\u5929\u7f8e, \u795e\u8c37\u4e4b\u5eb7, \u5409\u5cf0\u4fca\u6a39 (2007). \u8133\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u9023\u7d50\u306b\u3088\u308b\u795e\u7d4c\u6a5f\u80fd\u4fee\u6b63\u30fb\u4ee3\u884c\u6280\u8853\u306e\u6210\u7e3e <em>\u7b2c 66 \u56de\u793e\u56e3\u6cd5\u4eba\u65e5\u672c\u8133\u795e\u7d4c\u5916\u79d1\u5b66\u4f1a\u7dcf\u4f1a<\/em>.<\/li>\n<li>\u5e73\u7530\u96c5\u4e4b, \u67f3\u6fa4\u7422\u53f2, \u6f81\u8c37\u5927\u8f14, \u9f4b\u85e4\u6d0b\u4e00, \u52a0\u85e4\u5929\u7f8e, \u795e\u8c37\u4e4b\u5eb7, \u5409\u5cf0\u4fca\u6a39 (2007). \u76ae\u8cea\u8133\u6ce2\u3092\u7528\u3044\u305fbrain mapping\u3068neural decoding <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/li>\n<li>\u5bae\u8107\u967d\u4e00, \u5185\u7530\u8087, \u5c71\u4e0b\u5b99\u4eba, \u4f50\u85e4\u96c5\u662d, \u7530\u908a\u5b8f\u6a39, \u5b9a\u85e4\u898f\u5f18, \u795e\u8c37\u4e4b\u5eb7 (2007). fMRI\u4fe1\u53f7\u3092\u7528\u3044\u305f\u4efb\u610f\u8996\u77e5\u899a\u753b\u50cf\u306e\u518d\u69cb\u6210 <em>\u7b2c30\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a\/\u7b2c50\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u4f1a\u5927\u4f1a\/\u7b2c17\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5927\u4f1a \u5408\u540c\u5b66\u4f1a(Neuro2007)<\/em>.<\/li>\n<li>Okabe, T. (2007). Theoretical analysis of selection operator in genetic algorithms. <em>IEEE Congress on Evolutionary Computation (CEC2007)<\/em>.<\/li>\n<li>Yanagisawa, T., Hirata, M., Shibuya, D., Kishima, H., Saitoh, Y., Kato, A., Kamitani, Y., Yoshimine, T. (2007). Usefulness of electrocorticogram from primary motor cortex for high performance brain-computer interface. <em>2nd Congress of international Society of Reconstructive Neurosurgery\/5th Scientific Meeting of the WFNS Neurorehabilitation Committee<\/em>.<\/li>\n<li>Callan, D. E., Kawato, M. (2007). Infuluence of brain regions involved with articulatory processing on phoneme indentification performance. <em>International Congress of Phonetic Sciences (ICPhS2007)<\/em>.<\/li>\n<li>Yamashita, O., Sato, M., Yoshioka, T., Kamitani, Y. (2007). Mapping voxels automatically selected by sparse classifier. <em>The Organization for Human Brain Mapping(HBM2007), 13th Annual Meeting<\/em>.<\/li>\n<li>Fujiwara, Y., Sato, M., Yamashita, O., Kawawaki, D., Doya, K., Toyama, K., Kawato, M. (2007). A method for removal of eye movement artifacts from MEG: Simultaneous current source estimation of eyes and cortical activities from MEG and EOG data. <em>The Organization for Human Brain Mapping(HBM2007), 13th Annual Meeting<\/em>.<\/li>\n<li>Miyawaki, Y., Uchida, H., Yamashita, O., Sato, M., Tanabe, H., Sadato, N., Kamitani, Y. (2007). Reconstruction of arbitrary visual images from fMRI signals by the combination of local image decoders. <em>The Organization for Human Brain Mapping(HBM2007),13th Annual Meeting<\/em>.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d, \u5409\u5ca1\u7422, \u5c71\u4e0b\u5b99\u4eba (2007). \u968e\u5c64\u30d9\u30a4\u30ba\u63a8\u5b9a\u6cd5\u306b\u3088\u308bMEG\u96fb\u6d41\u6e90\u63a8\u5b9a <em>\u7b2c 22 \u56de\u65e5\u672c\u751f\u4f53\u78c1\u6c17\u5b66\u4f1a\u5927\u4f1a\/\u65e5\u672c\u751f\u4f53\u78c1\u6c17\u5b66\u4f1a\u8a8c\u7279\u5225\u53f7 \u7b2c 22 \u56de\u65e5\u672c\u751f\u4f53\u78c1\u6c17\u5b66\u4f1a\u5927\u4f1a\u8ad6\u6587\u96c6\uff08\u76ee\u6b21\u306b\u306e\u307f\u63b2\u8f09\uff09<\/em>.<\/li>\n<li>Hubbard, A. L., Wilson, S. M., Callan, D. E., Dapretto, M. (2007). Giving speech a hand: fMRI evidence of beat gesture\/speech integration in non-primary auditory cortex. <em>International Society for Gesture Studies, 3rd International Conference Integrating Gestures<\/em>.<\/li>\n<li>Hubbard, A. L., Wilson, S. M., Callan, D. E. (2007). Do you see what I&#8217;m saying?: Gesture modulated activity in auditory cortex during speech perception. <em>37th Annual Meeting of The Jean Piaget Society, Developmental Social Cognitive Neuroscience<\/em>.<\/li>\n<li>\u5bae\u8107\u967d\u4e00, \u5185\u7530\u8087, \u5c71\u4e0b\u5b99\u4eba, \u4f50\u85e4\u96c5\u662d, \u68ee\u6238\u52c7\u4ecb, \u7530\u908a\u5b8f\u6a39, \u5b9a\u85e4\u898f\u5f18, \u795e\u8c37\u4e4b\u5eb7 (2007). \u591a\u91cd\u89e3\u50cf\u5ea6\u5c40\u6240\u753b\u50cf\u8907\u5408\u5668\u306e\u7d44\u307f\u5408\u308f\u305b\u306b\u3088\u308bfMRI\u4fe1\u53f7\u304b\u3089\u306e\u8996\u899a\u50cf\u518d\u69cb\u6210 <em>\u7b2c 47 \u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5927\u4f1a\/\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u8a8c\u751f\u4f53\u533b\u5de5\u5b66\u3000\u30d7\u30ed\u30b0\u30e9\u30e0\u30fb\u6284\u9332\u96c6\uff08)<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba, \u67f4\u7530\u548c\u4e45, \u4f50\u85e4\u96c5\u662d, \u5c71\u5cb8\u5178\u5b50 (2007). \u96fb\u6d41\u6e90\u63a8\u5b9a\u6cd5\u3092\u7528\u3044\u305fMEG\u30c7\u30fc\u30bf\u30c7\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0 &#8211; BCI\u3078\u306e\u5fdc\u7528\u306b\u5411\u3051\u3066 &#8211; <em>\u7b2c46\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5927\u4f1a<\/em>.<\/li>\n<li>\u5927\u8feb\u653f\u5fb3, \u5c71\u4e0b\u5b99\u4eba, \u5ee3\u6c5f\u7dcf\u96c4, \u4f50\u85e4\u96c5\u662d (2007). \u904b\u52d5\u30bf\u30b9\u30af\u3092\u7528\u3044\u305f\u968e\u5c64\u30d9\u30a4\u30ba\u8133\u96fb\u6d41\u6e90\u63a8\u5b9a\u6cd5\u306e\u6bd4\u8f03\u691c\u8a3c <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/li>\n<li>\u5185\u7530\u8087, \u5bae\u8107\u967d\u4e00, \u5c71\u4e0b\u5b99\u4eba, \u4f50\u85e4\u96c5\u662d, \u7530\u908a\u5b8f\u6a39, \u5b9a\u85e4\u898f\u5f18, \u795e\u8c37\u4e4b\u5eb7 (2007). \u591a\u91cd\u89e3\u50cf\u5ea6\u5c40\u6240\u753b\u50cf\u5fa9\u53f7\u5668\u306e\u7d44\u307f\u5408\u308f\u305b\u306b\u3088\u308b\u8996\u899a\u50cf\u306e\u518d\u69cb\u6210 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/li>\n<li>Kawawaki, D., Shibata, T., Yamashita, O., Fujiwara, Y., Sato, M., Kawato, M. (2007). Cortical current sources for processing visual target motion revealed by MEG and fMRI. <em>International Symposium on Artificial Life and Robotics(AROB 12th 2007)<\/em>.<\/li>\n<li>\u5927\u8feb\u653f\u5fb3, \u4f50\u85e4\u96c5\u662d, \u5c71\u4e0b\u5b99\u4eba, \u5ee3\u6c5f\u7dcf\u96c4 (2007). \u904b\u52d5\u30bf\u30b9\u30af\u3092\u7528\u3044\u305f\u968e\u5c64\u30d9\u30a4\u30ba\u8133\u96fb\u6d41\u6e90\u63a8\u5b9a\u6cd5\u306e\u6bd4\u8f03\u691c\u8a3c <em>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u3000\u7b2c 7 \u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/em>.<\/li>\n<li>\u5bae\u8107\u967d\u4e00, \u5185\u7530\u8087, \u5c71\u4e0b\u5b99\u4eba, \u7530\u908a\u5b8f\u6a39, \u5b9a\u85e4\u898f\u5f18, \u795e\u8c37\u4e4b\u5eb7 (2007). fMRI\u4fe1\u53f7\u304b\u3089\u306e\u8996\u899a\u753b\u50cf\u306e\u518d\u69cb\u6210 <em>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u3000\u7b2c 7 \u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/em>.<\/li>\n<li>Callan, D. E., Yamashita, O., Yamagishi, N., Sato, M., Kawato, M. (2006). Brain regions involved with speech motor control mediate phonetic perceptual indentification performance to a greater extent than brain regions involved with auditory processing. <em>International Seminar on Speech Production (7th ISSP)<\/em>.<\/li>\n<li>Sato, M. (2006). Noninvasive source localization and BMI. <em>CREST\u56fd\u969b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u300c\u8133\u3068\u6a5f\u68b0\u3092\u3064\u306a\u3050\u301c\u30d6\u30ec\u30a4\u30f3\u30fc\u30de\u30b7\u30f3\u30fb\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u306e\u53ef\u80fd\u6027\u300d<\/em>.<\/li>\n<li>Shibata, K., Yamagishi, N., Goda, N., Yoshioka, T., Yamashita, O., Sato, M., Kawato, M. (2006). Feature attention modulates activity in feature sensitive visual areas before stimulus onset: An fMRI constrained MEG study.. <em>Society for Neuroscience 36th Annual Meeting (Neuroscience 2006)<\/em>.<\/li>\n<li>\u5ddd\u8107\u5927, \u67f4\u7530\u667a\u5e83, \u85e4\u539f\u7950\u4ecb, \u5c71\u4e0b\u5b99\u4eba, \u4f50\u85e4\u96c5\u662d, \u5ddd\u4eba\u5149\u7537 (2006). fMRI\/MEG\u7d71\u5408\u89e3\u6790\u306b\u3088\u308b\u5fc3\u7684\u306a\u8996\u6a19\u904b\u52d5\u8ffd\u8de1\u306b\u95a2\u308f\u308b\u76ae\u8cea\u96fb\u6d41\u6e90\u306e\u63a8\u5b9a <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba, \u67f4\u7530\u548c\u4e45, \u5c71\u5cb8\u5178\u5b50, \u4f50\u85e4\u96c5\u662d (2006). \u30b9\u30da\u30fc\u30b9\u5224\u5225\u5668\u3092\u7528\u3044\u305f\u30cb\u30e5\u30fc\u30ed\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u30c7\u30fc\u30bf\u306e\u5fa9\u53f7\u5316 <em>\u7b2c\u4e8c\u7a2e\u7814\u7a76\u4f1a\u3000\u7b2c 1 \u56de\u30d6\u30ec\u30a4\u30f3\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u7814\u7a76\u4f1a<\/em>.<\/li>\n<li>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, \u4f50\u85e4\u96c5\u662d, \u9285\u8c37\u8ce2\u6cbb (2006). \u5909\u5206\u30d9\u30a4\u30ba\u6cd5\u306b\u3088\u308b\u81ea\u7136\u65b9\u7b56\u52fe\u914d\u306e\u63a8\u5b9a\u6cd5 <em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a\/\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a<\/em>.<\/li>\n<li>Yoshioka, T., Sato, M., Kajihara, S., Toyama, K., Kawato, M. (2006). Visual cortical activities revealed by hierarchical Bayesian estimation. <em>International Conference on Biomagnetism (15th BIOMAG2006)<\/em>.<\/li>\n<li>Yamashita, O., Shibata, K., Yamagishi, N., Sato, M. (2006). Applying a sparse classfier to MEG data decoding. <em>International Conference on Biomagnetism (15th BIOMAG2006)<\/em>.<\/li>\n<li>Shibata, K., Yamagishi, N., Goda, N., Yoshioka, T., Yamashita, O., Sato, M., Kawato, M. (2006). Feature attention modulates activity in feature sensitive visual areas before stimulus onset: An fMRI constrained MEG study. <em>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0 \u7b2c 7 \u56de\u590f\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/em>.<\/li>\n<li>\u6f81\u8c37\u5927\u8f14, \u6728\u6751\u771f\u5f18, \u5c71\u4e0b\u5b99\u4eba, Harner, A., \u5929\u91ce\u85ab, \u795e\u8c37\u4e4b\u5eb7 (2006). MEG\u306b\u3088\u308b\u624b\u6307\u904b\u52d5\u30d1\u30bf\u30fc\u30f3\u306e\u30c7\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0 <em>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0 \u7b2c 7 \u56de\u590f\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/em>.<\/li>\n<li>Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K. (2005). Learning CPG-based biped locomotion with a policy gradient method. <em>IEEE-RAS\/RSJ International Conference on Humanoid Robots (Humanoids 2005)<\/em>.<\/li>\n<li>Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K. (2005). Learning sensory feedback to CPG with a policy gradient method and its application to real robot. <em>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0 \u7b2c 6 \u56de\u590f\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/em>.<\/li>\n<li>Callan, E. D., Yamashita, O., Tajima, K., Kawato, M. (2006). Classification of single-trial phonetic identification performance using pre-stimulus EEG activity. The Organization for Human Brain Mapping, 12th Annual Meeting (HBM06).<\/li>\n<li>Hubbard, A., Callan, E. D., Dapretto, M. (2006). How the brain sees what we say: A functional MRI study of speech and beat gesture. The Organization for Human Brain Mapping, 12th Annual Meeting (HBM06).<\/li>\n<li>Hubbard, A., Callan, E. D., Dapretto, M. (2006). How the brain sees what we say: A functional MRI study of speech and beat gesture. Joint conference of American Association of Applied Linguistics with Canadian Association of Applied Linguistics.<\/li>\n<li>Callan, E. D. (2006). Classification of single-trial prestimulus task-related brain activity using independent component analysis. \u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u3000\u7b2c6\u56de\u3000\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba (2006). \u30b9\u30d1\u30fc\u30b9\u5224\u5225\u5668\u306b\u3088\u308b\u534a\u81ea\u52d5\u7279\u5fb4\u62bd\u51fa\u3092\u7528\u3044\u305f\u30c7\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u6cd5. \u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u3000\u7b2c6\u56de\u3000\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7.<\/li>\n<li>Bando, T., Shibata, T., Doya, K., Ishii, S. (2005). Hard \/ soft switching particle filters for efficient real-time visual tracking. International Symposium on Artificial Life and Robotics 2005.<\/li>\n<li>Callan, E. D. (2005). Internal models differentially implicated in audiovisual perception of nonnative vowel contrasts. Auditory-Visual Speech Processing 2005 (AVSP 2005), 53\u201354.<\/li>\n<li>Callan, E. D. (2005). Perceptual identification of difficult second-language phonetic contrasts selectively activates brain regions involved with auditory-articualtory and orosensory mapping. Acoustical Society of Japan 2005 Autumn Meeting, 883\u2013884.<\/li>\n<li>Hitomi, K., Shibata, T., Nakamura,Y., Ishi, S. (2005). Reinforcement learning of stable trajectory for quasi-passive-dynamic walking. IJCAI Workshop on Modeling Natural Action Selection, 229\u2013234.<\/li>\n<li>Matsubara, T., Morimoto, J., Nakanishi, J., Sato, M., Doya, K. (2005). Learning sensory feedback to CPG with policy gradient for biped locomotion. IEEE International Conference on Robotics and Automation (ICRA2005).<\/li>\n<li>Fujiwara, Y., Sato, M., Yamashita, O., Yoshioka, T., Kawawaki, D., Shibata, T., Doya, K., Toyama, K. (2005). Hierarchical bayesian estimation for removal of eye movement artifacts from MEG data.\u300c\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u300d\u7b2c6\u56de\u3000\u590f\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7.<\/li>\n<li>Yamashita, O., Sato, M., Yoshioka, T. (2005). MEG\/fMRI spatio-temporal source localization method. \u5e73\u621017\u5e74\u5ea6\u751f\u7406\u7814\u7814\u7a76\u4f1a\u300c\u795e\u7d4c\u79d1\u5b66\u306e\u9053\u5177\u3068\u3057\u3066\u306e\u6a5f\u80fd\u7684\uff2d\uff32\uff29\u7814\u7a76\u4f1a\u300d.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d (2005). \u975e\u4fb5\u8972\u8133\u6d3b\u52d5\u63a8\u5b9a\u3068\u30d6\u30ec\u30a4\u30f3\u30fb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9. \u7b2c20\u56de\u65e5\u672c\u751f\u4f53\u78c1\u6c17\u5b66\u4f1a, 18(1), 20.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d, \u5409\u5ca1\u7422, \u68b6\u539f\u8302\u6a39, \u5916\u5c71\u656c\u4ecb (2005). \u5909\u5206\u30d9\u30a4\u30ba\u306b\u3088\u308bMEG\u30c7\u30fc\u30bf\u89e3\u6790. \u7b2c8\u56de \u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS 2005), 255\u2013261.<\/li>\n<li>\u5929\u6b63\u65b0\u4e8c\u90ce, \u524d\u5ddd\u8061, \u5409\u672c\u6f64\u4e00\u90ce, \u67f4\u7530\u667a\u5e83, \u77f3\u4e95\u4fe1 (2005). \u30de\u30eb\u30c1\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u74b0\u5883\u306b\u304a\u3051\u308b\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u6bb5\u968e\u7684\u5275\u767a. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u300c\u4eba\u5de5\u77e5\u80fd\u3068\u77e5\u8b58\u51e6\u7406\u300d\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u300c\u77e5\u80fd\u3068\u8907\u96d1\u7cfb\u300d\u5408\u540c\u7814\u7a76\u4f1a.<\/li>\n<li>Fujiwara, Y., Sato, M., Yamashita, O., Yoshioka, T., Kawawaki, D., Shibata, T., Doya, K., Toyama, K., Kawato, M. (2005). A method for removal of eye movement artifacts from MEG \u2013 Simultaneous current source estimation of eyes and cortical activities from MEG and EOG data. IEICE Technical Report, 43\u201348.<\/li>\n<li>\u85e4\u539f\u7950\u4ecb, \u4f50\u85e4\u96c5\u660e, \u5c71\u4e0b\u5b99\u4eba, \u5409\u5ca1\u7422, \u5ddd\u8107\u5927, \u67f4\u7530\u667a\u5e83, \u9285\u8c37\u8ce2\u6cbb, \u5916\u5c71\u656c\u4ecb (2005). \u773c\u7403\u3068\u5927\u8133\u76ae\u8cea\u306e\u540c\u6642\u96fb\u6d41\u6e90\u63a8\u5b9a\u306b\u3088\u308b\uff2d\uff25\uff27\u773c\u7403\u30a2\u30fc\u30c1\u30d5\u30a1\u30af\u30c8\u9664\u53bb. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, 104(759), 31\u201336.<\/li>\n<li>Bando, T., Shibata, T., Doya, K., Ishii, S. (2004). Switching particle filters for efficient real-time visual tracking. International Conference on Pattern Recognition 2004.<\/li>\n<li>Haruno, M., Kuroda, T., Doya, K., Toyama, K., Kimura, M., Samejima, K., Imamizu, H., Kawato, M. (2004). Computationall-model-based imaging studies of decision learning. Tamagawa-COE International Symposium on Attention and Decision.<\/li>\n<li>Kawawaki, D., Shibata, T., Goda, N., Doya, K., Kawato, M. (2004). Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and covert visual pursuit. Society for Neuroscience 34th Annual Meeting, 64.<\/li>\n<li>Mori T., Nakamura,Y., Sato, M., Ishii, S. (2004). Reinforcement learning for CPG-driven biped robot. The Nineteenth National Conference on Artificial Intelligence\uff08AAAI2004\uff09.<\/li>\n<li>Sato, M., Yoshioka, T., Kajiwara, S., Toyama, K., Goda, N., Doya, K., Kawato, M. (2004). Hierarchical variational Bayesian method for MEG. BIOMAG2004, 609.<\/li>\n<li>Shibata, T., Suhara, Y., Oga, T., Ueki, Y., Mima, T., Ishii, S. (2004). Application of multivariate autoregressive modeling for analyzing the interaction between EEG and EMG in humans. International Congress Series, 1270C(3), 249\u2013253.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d (2004). \u975e\u4fb5\u8972\u8133\u6d3b\u52d5\u8a08\u6e2c\uff08fMRI\u3068MEG\uff09\u60c5\u5831\u306e\u7d71\u5408\u3068\u305d\u306e\u5fdc\u7528. \u7b2c\uff11\uff19\u56de\u3000\u751f\u4f53\u30fb\u751f\u7406\u5de5\u5b66\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 BPES2004, 25\u201328.<\/li>\n<li>\u67f4\u7530\u667a\u5e83 (2004). A Model of Smooth Pursuit Eye Movements: Learning and Prediction Realized by Subregions in MST. \u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u7b2c5\u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7.<\/li>\n<li>\u9808\u539f\u512a\u4e00, \u67f4\u7530\u667a\u5e83, \u5927\u8cc0\u8fb0\u79c0, \u690d\u6728\u7f8e\u4e43, \u7f8e\u99ac\u9054\u54c9, \u77f3\u4e95\u4fe1 (2004). \u81ea\u5df1\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u8133\u6ce2\u30fb\u7b4b\u96fb\u4fe1\u53f7\u306e\u76f8\u4e92\u4f5c\u7528\u89e3\u6790\u3068\u81e8\u5e8a\u5fdc\u7528. \u7b2c\uff14\uff13\u56de\u65e5\u672c\u30a8\u30e0\u30fb\u30a4\u30fc\u5b66\u4f1a.<\/li>\n<li>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, \u4f50\u85e4\u96c5\u662d, \u9285\u8c37\u8ce2\u6cbb (2004). \uff12\u8db3\u6b69\u884c\u904b\u52d5\u306e\u305f\u3081\u306e\u52d5\u7684\u884c\u52d5\u5247\u306e\u7372\u5f97 \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u3000\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a Robomec&#8217;04.<\/li>\n<li>\u5c71\u4e0b\u5b99\u4eba, \u5b9a\u85e4\u898f\u5f18, \u5c3e\u5d0e\u7d71 (2004). Evaluating frequency-wise directed connectivity of BOLD signals. \u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u7b2c5\u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7.<\/li>\n<li>\u5409\u5ca1\u7422, \u4f50\u85e4\u96c5\u662d, \u68b6\u539f\u8302\u6a39, \u5916\u5c71\u656c\u4ecb (2004). \u5909\u5206\u30d9\u30a4\u30ba\u6cd5\u306b\u3088\u308bMEG\u9806\u30e2\u30c7\u30eb\u9078\u629e. \u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u7b2c\uff114\u56de\u5168\u56fd\u5927\u4f1a, 16\u201317.<\/li>\n<li>\u5409\u5ca1\u7422, \u4f50\u85e4\u96c5\u662d, \u68b6\u539f\u8302\u6a39, \u5916\u5c71\u656c\u4ecb (2004). \u7d71\u8a08\u7684\u57fa\u6e96\u306b\u3088\u308bMEG\u9806\u30e2\u30c7\u30eb\u9078\u629e. \u7b2c5\u56de\u8133\u78c1\u5834\u30cb\u30e5\u30fc\u30ed\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u5927\u4f1a, 11.<\/li>\n<li>Yoshioka, T., Sato, M., Kajiwara, S., Toyama, K., Goda, N., Doya, K., Kawato, M. (2004). An analysis of MEG data by hierarchical variational Bayesian method. BIOMAG2004, 611.<\/li>\n<li>\u5ddd\u8107\u5927, \u67f4\u7530\u667a\u5e83, \u90f7\u7530\u76f4\u4e00, \u9285\u8c37\u8ce2\u6cbb, \u5ddd\u4eba\u5149\u7537 (2004). \u30d2\u30c8\u5927\u8133\u76ae\u8cea\u306b\u304a\u3051\u308b\u5186\u6ed1\u6027\u8ffd\u8de1\u773c\u7403\u904b\u52d5\u306e\u305f\u3081\u306e\u8996\u6a19\u904b\u52d5\u4e88\u6e2c\u306b\u95a2\u3059\u308b\u9818\u57df\u306e\u6a5f\u80fd\u7684\u540c\u5b9a. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, 103(733), 7\u201312.<\/li>\n<li>\u677e\u539f\u5d07\u5145, \u68ee\u672c\u6df3, \u4e2d\u897f\u6df3, \u4f50\u85e4\u96c5\u662d, \u9285\u8c37\u8ce2\u6cbb (2004). \u65b9\u7b56\u52fe\u914d\u6cd5\u3092\u7528\u3044\u305f\u52d5\u7684\u884c\u52d5\u5247\u306e\u7372\u5f97\uff1a\uff12\u8db3\u6b69\u884c\u904b\u52d5\u3078\u306e\u9069\u7528. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, 103(601), 53\u201358.<\/li>\n<li>Oba, S., Sato, M., Ishii, S. (2003) Prior Hyperparameters in Bayesian PCA. ICANN\/ICONIP 2003, 123\u2013131.<\/li>\n<li>Yoshimoto, J., Ishii, S., Sato, M. (2003) System identification based on on-line variational Bayes method and its application to reinforcement learning, Artificial Neural Networks and Neural Information Processing ICANN\/ICONIP 2003, Lecture Notes in Computer Science 2714, 123\u2013131, Springer Verlag.<\/li>\n<li>\u77f3\u4e95\u4fe1, \u5927\u7fbd\u6210\u5f81, \u4f50\u85e4\u96c5\u662d (2003). \u30d9\u30a4\u30ba\u7684\u4e3b\u6210\u5206\u5206\u6790\u306e\u4e8b\u524d\u5206\u5e03\u30cf\u30a4\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u3044\u3064\u3044\u3066. \u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u7b2c\uff11\uff13\u56de\u5168\u56fd\u5927\u4f1a, 202\u2013203.<\/li>\n<li>\u5ddd\u8107\u5927, \u67f4\u7530\u667a\u5e83, \u90f7\u7530\u76f4\u4e00, \u9285\u8c37\u8ce2\u6cbb, \u5ddd\u4eba\u5149\u7537 (2003). \u30d2\u30c8\u306eFEF\u91ce\u304a\u3088\u3073MST\u91ce\u306b\u304a\u3051\u308b\u5186\u6ed1\u6027\u8ffd\u8de1\u773c\u7403\u904b\u52d5\u306e\u8996\u6a19\u904b\u52d5\u4e88\u6e2c\u306b\u95a2\u3059\u308bfMRI\u7814\u7a76. \u7b2c18\u56de\u751f\u4f53\u30fb\u751f\u7406\u5de5\u5b66\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, 03Y007, 97\u201398.<\/li>\n<li>\u5ddd\u8107\u5927, \u67f4\u7530\u667a\u5e83, \u90f7\u7530\u76f4\u4e00, \u9285\u8c37\u8ce2\u6cbb, \u5ddd\u4eba\u5149\u7537 (2003). \u5186\u6ed1\u6027\u8ffd\u8de1\u773c\u7403\u904b\u52d5\u30e2\u30c7\u30eb\u306b\u3082\u3068\u3065\u3044\u305f\u8996\u6a19\u904b\u52d5\u4e88\u6e2c\u306b\u95a2\u3059\u308bfMRI\u89e3\u6790. \u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u7b2c\uff14\u56de\u590f\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u300c\u610f\u8b58\u3068\u7d71\u62ec\u6a5f\u80fd\u300d.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d, \u5409\u5ca1\u7422, \u68b6\u539f\u8302\u6a39, \u5916\u5c71\u656c\u4ecb (2003). MEG\u96fb\u6e90\u306e\u968e\u5c64\u30d9\u30a4\u30ba\u63a8\u5b9a. \u7b2c18\u56de\u65e5\u672c\u751f\u4f53\u78c1\u6c17\u5b66\u4f1a\u5927\u4f1a, 16(1), 148\u2013149.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d, \u5409\u672c\u6f64\u4e00\u90ce, \u77f3\u4e95\u4fe1 (2003). \u5909\u5206\u30d9\u30a4\u30ba\u63a8\u5b9a\u6cd5\u306b\u57fa\u3065\u304f\u30aa\u30f3\u30e9\u30a4\u30f3\u30b7\u30b9\u30c6\u30e0\u540c\u5b9a\u6cd5\u3068\u90e8\u5206\u89b3\u6e2c\u5f37\u5316\u5b66\u7fd2\u6cd5. \u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u3000\u7b2c\uff11\uff13\u56de\u5168\u56fd\u5927\u4f1a, 64\u201365.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d, \u5409\u5ca1\u7422, \u68b6\u539f\u8302\u6a39, \u5916\u5c71\u656c\u4ecb, \u90f7\u7530\u76f4\u4e00, \u9285\u8c37\u8ce2\u6cbb, \u5ddd\u4eba\u5149\u7537 (2003). MEG \u96fb\u6e90\u306e\u968e\u5c64\u5909\u5206\u30d9\u30a4\u30ba\u63a8\u5b9a. \u751f\u7406\u5b66\u7814\u7a76\u6240\u7814\u7a76\u4f1a\u3000\u7b2c\uff14\u56de\u300c\u8133\u78c1\u5834\u30cb\u30e5\u30fc\u30ed\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u300d, 23.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d (2003). \u30aa\u30f3\u30e9\u30a4\u30f3\u30fb\u30d9\u30a4\u30ba\u5b66\u7fd2\u306b\u3064\u3044\u3066. \u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u300c\u5b66\u7fd2\u7406\u8ad6\u306e\u6570\u5b66\u7684\u69cb\u9020\u300d, 19\u201347.<\/li>\n<li>\u67f4\u7530\u667a\u5e83, \u7530\u7aef\u5b8f\u5145, \u9285\u8c37\u8ce2\u6cbb, \u5ddd\u4eba\u5149\u7537 (2003). \u30d2\u30c8\u5186\u6ed1\u6027\u8ffd\u8de1\u773c\u7403\u904b\u52d5\u306b\u304a\u3051\u308b\u8996\u6a19\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306e\u5b66\u7fd2. \u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u7b2c3\u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7.<\/li>\n<li>\u4e2d\u6751\u6cf0, \u4f50\u85e4\u96c5\u662d, \u77f3\u4e95\u4fe1 (2003). \u795e\u7d4c\u632f\u52d5\u5b50\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u5f37\u5316\u5b66\u7fd2\u6cd5\u306b\u3088\u308b\uff12\u8db3\u6b69\u884c\u904b\u52d5\u306e\u7372\u5f97. \u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u7b2c\uff11\uff13\u56de\u5168\u56fd\u5927\u4f1a, 74\u201375.<\/li>\n<li>\u5742\u6771\u8a89\u53f8, \u67f4\u7530\u667a\u5e83, \u9285\u8c37\u8ce2\u6cbb, \u77f3\u4e95\u4fe1 (2003). \u52d5\u7684\u306a\u518d\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u6cd5\u306e\u5207\u308a\u66ff\u3048\u306b\u3088\u308b\u30ed\u30d0\u30b9\u30c8\u8996\u899a\u8ffd\u8de1. \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u7b2c\uff12\uff11\u56de\u5b66\u8853\u8b1b\u6f14\u4f1a, 1K25.<\/li>\n<li>\u5409\u5ca1\u7422, \u4f50\u85e4\u96c5\u662d, \u68b6\u539f\u8302\u6a39, \u5916\u5c71\u656c\u4ecb (2003). \u30d9\u30a4\u30ba\u63a8\u5b9a\u306b\u3088\u308bMEG\u96fb\u6e90\u63a8\u5b9a. \u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u7b2c\uff11\uff13\u56de\u5168\u56fd\u5927\u4f1a, 120\u2013121.<\/li>\n<li>\u5409\u672c\u6f64\u4e00\u90ce, \u77f3\u4e95\u4fe1, \u5409\u7530\u548c\u5b50, \u4f50\u85e4\u96c5\u662d (2003). \u30aa\u30f3\u30e9\u30a4\u30f3\u5909\u5206\u30d9\u30a4\u30ba\u6cd5\u306b\u3088\u308b\u90e8\u5206\u89b3\u6e2c\u74b0\u5883\u306e\u540c\u5b9a\u3068\u5f37\u5316\u5b66\u7fd2\u3078\u306e\u5fdc\u7528. \u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u7b2c3\u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7.<\/li>\n<li>\u5927\u7fbd\u6210\u5f81, \u4f50\u85e4\u96c5\u662d, \u77f3\u4e95\u4fe1 (2003). \u30d9\u30a4\u30ba\u7684\u4e3b\u6210\u5206\u5206\u6790\u306e\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u3064\u3044\u3066. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, 102(729), 197\u2013202.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d, \u5409\u5ca1\u7422, \u68b6\u539f\u8302\u6a39, \u5916\u5c71\u656c\u4ecb (2003). MEG\u96fb\u6e90\u63a8\u5b9a\u3068\u30d9\u30a4\u30ba\u63a8\u5b9a\u4e8b\u524d\u5206\u5e03. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, 102(729), 89\u201394.<\/li>\n<li>Nakamura,Y., Sato, M., Ishii,S. (2002). Reinforcement Learning for Biped Robot. 2nd International Symposium on Adaptive Motion of Animals and Machines (AMAM2003), 36.<\/li>\n<li>Oba,S., Sato,M., Takemasa,I., Monden,M., Matsubara,K., Ishii,S. (2002). Missing value estimation using mixture of PCAs. ICANN 2002, 492\u2013497.<\/li>\n<li>Sato, M., Nakamura,Y., Ishii,S. (2002). Reinforcement Learning for Biped Locomotion. ICANN 2002, 777\u2013782.<\/li>\n<li>Sato, M., Oba,S. (2002). Incremental Sparse Kernel Machine. ICANN 2002, 700\u2013706.<\/li>\n<li>Yoshimoto, J., Ishii, S., Sato, M. (2002) Hierarchical model selection for NGnet based on variational method. International Conference on Artificial Neural Networks 2002 (ICANN 2002), Lecture Notes in Computer Science 2415, 661\u2013666, Springer Verlag.<\/li>\n<li>\u5927\u7fbd\u6210\u5f81, \u4f50\u85e4\u96c5\u662d, \u77f3\u4e95\u4fe1 (2002). \u6df7\u5408\u4e3b\u6210\u5206\u5206\u6790\u30e2\u30c7\u30eb\u306b\u3088\u308b\u6b20\u6e2c\u30c7\u30fc\u30bf\u4e88\u6e2c. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, 101(736), 181\u2013186.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d (2002). \u5909\u5206\u30d9\u30a4\u30ba\u6cd5\u306b\u3088\u308bMEG\u96fb\u6e90\u63a8\u5b9a. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, 101(736), 167\u2013174.<\/li>\n<li>\u4e2d\u6751\u6cf0, \u4f50\u85e4\u96c5\u662d, \u77f3\u4e95\u4fe1 (2002). \u795e\u7d4c\u632f\u52d5\u5b50\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u5f37\u5316\u5b66\u7fd2\u6cd5\u306b\u3088\u308b\u6b69\u884c\u904b\u52d5\u306e\u7372\u5f97. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a.<\/li>\n<li>Haruno M., Kuroda T., Doya K., Toyama K., Kimura M., Samejima K., Imamizu H., Kawato M. (2001). fMRI study of human brain activity during reinforcement learning. Society for Neuroscience 31th Annual Meeting, San Diego, USA.<\/li>\n<li>Tabata H., Shibata T., Taguchi S., Doya K., Kawato M. (2001). A simulation study on smooth pursuit and ocular following responses based on an MST neural-field model. Society for Neuroscience 31th Annual Meeting, San Diego, USA.<\/li>\n<li>\u77f3\u4e95\u4fe1, \u4f50\u85e4\u96c5\u662d (2001). \u30aa\u30f3\u30e9\u30a4\u30f3\u5909\u5206\u6cd5\u30d9\u30a4\u30ba\u5b66\u7fd2\u306b\u3088\u308b\u95a2\u6570\u8fd1\u4f3c. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, NC2000\u201490, 37\u201344.<\/li>\n<li>\u53e4\u5ddd\u54f2\u4e5f, \u4f50\u85e4\u96c5\u662d, \u9285\u8c37\u8ce2\u6cbb (2001). \u5909\u5206\u30d9\u30a4\u30ba\u6cd5\u3092\u7528\u3044\u305f\u76f8\u4e92\u60c5\u5831\u91cf\u306e\u63a8\u5b9a. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, 101(94), NC2001\u20144,19\u201324.<\/li>\n<li>Nagayuki Y., Ishii S., Doya K. (2000). Multi-agent reinforcement learning: an approach based on the other agent&#8217;s internal model. Fourth International Conference on Multi-Agent Systems, 215\u2013221.<\/li>\n<li>Nagayuki Y., Ishii S., Ito M., Shimohara K., Doya K. (2000). A multi-agent reinforcement learning method with the estimation of the other agent&#8217;s actions. Fifth International Symposium on Artifical Life and Robotics, 1, 255\u2013259.<\/li>\n<li>Ohba, S., Ishii, S., Sato, M. (2000). Variational Bayes method for Mixture of Principal Component Analyzers. 7th International Conference on Neural Information Processing (ICONIP 2000), 2, 1416\u20131421.<\/li>\n<li>Sato, M. (2000). On-line Bayesian Learning and Model Selection. 7th International Conference on Neural Information Processing, 1, 470\u2013475.<\/li>\n<li>Sato, M. (2000). Convergence of On-line EM Algorithm. 7th International Conference on Neural Information Processing, 1, 476\u2013481.<\/li>\n<li>\u5927\u7fbd\u6210\u5f81, \u77f3\u4e95\u4fe1, \u4f50\u85e4\u96c5\u662d (2000). VB\u6cd5\u306b\u3088\u308b\u6df7\u5408\u4e3b\u6210\u5206\u5206\u6790. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, NC2000\u201425, 9\u201316.<\/li>\n<li>\u4f50\u85e4\u96c5\u662d (2000). \u30aa\u30f3\u30e9\u30a4\u30f3\u30d9\u30a4\u30ba\u5b66\u7fd2\u306b\u3088\u308b\u30e2\u30c7\u30eb\u9078\u629e\u3068\u52d5\u7684\u74b0\u5883\u3078\u306e\u9069\u5fdc. \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a, NC99\u2014130, 97\u2013104.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Journals Suzuki,K., Takeda,Y., Hiroe,N., Yamashita,O.,(2026), Channel gain calibrated signal space projection  [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-32","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/pages\/32","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/comments?post=32"}],"version-history":[{"count":102,"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/pages\/32\/revisions"}],"predecessor-version":[{"id":2534,"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/pages\/32\/revisions\/2534"}],"wp:attachment":[{"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/media?parent=32"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}