研究業績

2024年

査読付き誌上発表論文/Jornal articles

査読付き口頭発表論文/Reviewed presentations

  1. Hosoya H.
    A Cognitive Model for Learning Abstract Structures from Memory-based Relational Decision-Making.
    ICLR’24, Vienna, Austria, May, 2024.
  2. Ju C, Kobler R, Tang L, Guan C, Kawanabe M.
    Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data.
    ICLR’24(accepted; spotlight), Vienna, Austria, May, 2024.
  3. Miyanishi T, Azuma D, Kurita S, Kawanabe M.
    Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans.
    Proc. 3DV’24, 2024.

その他学術発表/Other academic presentations

2023年

査読付き誌上発表論文/Jornal articles

  1. Kuroda T, Ritchey CM, Podlesnik CA.
    Selective effects of conspecific movement on social preference in zebrafish (Danio rerio) using real-time 3D tracking and 3D animation.
    Scientific Reports, 13, June 2023.
  2. Ritchey CM, Kuroda T, Podlesnik CA.
    A quantitative analysis of resurgence following downshifts in alternative-reinforcer magnitude.
    Journal of the Experimental Analysis of Behavior, 119, March 2023.

査読付き口頭発表論文/Reviewed presentations

  1. Miyanishi T, Kitamori F, Kurita S, Lee J, Kawanabe M, Inoue N.
    CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data.
    Proc. NeurIPS, 2023.
  2. Kobler R, Kawanabe M.
    TSMNet for BCI: online, unsupervised adaptation.
    Proc the 10th International BCI Meeting, Brussels, Belgium, May 2023.

    3. Ju C, Kobler R, Guan C.
    Score-Based Data Generation for Spatial Covariance Matrices of Electroencephalography.
    Proc. the 45th EMBC, Sydney, Australia, July 2023.

その他学術発表/Other academic presentations

  1. Kobler R.
    Geometric Deep Learning meets BCI.
    Cutting Gardens, 2023 (invited talk).
  2. Kobler R, Hirayama J, Zhao Q, Kawanabe M.
    TSMNet for BMI: inter-subject and session transfer and online, unsupervised adaptation.
    The 10th annual meeting of JBMI, Kyoto, Japan, November 11, 2023.
  3. Hosoya H. “Categorical Invariant Generative Model (CIGMO): Deep Generative Learning Inspired by Primate Higher Vision,” Neuroscience 2023, Washington DC, USA, November, 2023.
  4. Ogawa T, Kuroda T, Kobler RJ, Tsutsumi M, Kishi T, Kawanabe M. “A denoising filter for the simultaneously recorded EEG-fMRI data by using an autoregressive model with exogenous input with carbon-wire loop signals.” Neuroscience 2023, Washington DC, USA, November, 2023.
  5. Kuroda T, Ogawa T, Kobler RJ, Tsutsumi M, Kishi T, Kawanabe M. “A proposal for denoising EEG recorded simultaneously with fMRI.” The 10th annual meeting of JBMI, Kyoto, Japan, November 11, 2023.
  6. Tsutsumi M, Kuroda T, Ogawa T, Kishi T, Kobler RJ, Kawanabe M. “Comparison of fMRI data during tasks in different sequences.” The 10th annual meeting of JBMI, Kyoto, Japan, November 11, 2023.
  7. Tamano R, Ogawa T, Katagiri A, Cai C, Kawanabe M. “Estimation of the functional connectivity-based biomarkers for schizophrenia and depression using machine learning and simultaneous EEG-fMRI; towards to EEG-neurofeedback training,” Proc. 36th ECNP Congress 2023, Oct7-10, 2023.
  8. Hasegawa F, Kuroda T. “The preference for biological motion in children under simultaneous choice test.” The 41st annual meeting of JABA, Osaka, Japan, September 15, 2023.
  9. Kuroda T. “Successive reinforcement of approximations to the target EEG-microstate.” The 41st annual meeting of JABA, Osaka, Japan, September 14, 2023.
  10. Ogawa T. “A neuroscientific/psychological approach associated with problem-solving.” The 24th Technical Committee of CBE, Sendai & online, Aug 25, 2023.
  11. Tamano R, Ogawa T, Katagiri A, Cai C, Asai T, Kawanabe M. “Dynamic properties of EEG microstate associated with working memory.” JPEG 2023, Osaka, Japan, Aug 4-5, 2023 (Invited talk)
  12. Hosoya H. “A computational model that learns to represent abstract relational structure from memory-based decision making,” The 46th Annual Meeting of JNSS, Sendai, Japan, August 1, 2023.
  13. Kuroda T, Ogawa T, Kobler R, Tsutsumi M, Kishi T, Kawanabe M. “Comparisons of event-related potentials in visual oddball and N-back tasks conducted inside and outside MRI following noise reductions,” The 46th Annual Meeting of JNSS, Sendai, Japan, August 1, 2023.
  14. Kobler R, Kuroda T, Ogawa T, Kawanabe M. “Towards decoding fMRI-derived large-scale brain dynamics at rest from EEG: a simultaneous EEG-fMRI study,” The 46th Annual Meeting of JNSS, Sendai, Japan, August 1, 2023.
  15. Tsutsumi M, Kuroda T, Ogawa T, Kishi T, Kobler RJ, Kawanabe M. “Evaluating reproducibility of functional MRI across scanners: the impact of scanning sequences on statistical outcome measures during oddball and n-back tasks.” The 46th Annual Meeting of JNSS, Sendai, Japan, August 1, 2023.
  16. Kishi T, Kuroda T, Ogawa T, Tsutsumi M, Kobler RJ, Kawanabe M. “Evaluating the effectiveness of carbon-wire loop artifact removal in EEG-fMRI simultaneous measurements across different scanners.” The 46th Annual Meeting of JNSS, Sendai, Japan, August 1, 2023.
  17. Ogawa T, Kuroda T, Kobler R, Tsutsumi M, Kishi T, Kawanabe M. “Improving EEG signal quality in the concurrent measurement of EEG-fMRI using signals of carbon-wire loops and nonlinear filter consisting of autoregressive with exogenous input.” The 46th Annual Meeting of JNSS, Sendai, Japan, August 1, 2023.
  18. Tamano R, Ogawa T, Katagiri A, Cai C, Kawanabe M. “Estimation of the functional connectivity-based biomarkers for schizophrenia and depression using machine learning and simultaneous EEG-fMRI data from healthy subjects; towards to EEG-neurofeedback training,” The 46th Annual Meeting of JNSS, Sendai, Japan, August 1, 2023.
  19. Noda S, Tamano R, Ogawa T, Kawanabe M. “Improving EEG-fMRI analysis: a preliminary assessment of the IC-U-Net for artifact removal,” The 46th Annual Meeting of JNSS, Sendai, Japan, August 1, 2023.
  20. Montague K, Ritchey C, Martinez-Perez CN, Murphy S, Kuroda T, Podlesnik CA. “A quantitative analysis of the effects of target and alternative reinforcement rate on resurgence.” The 49th annual convention of ABAI, Denver, CO, May, 2023.
  21. Martinez-Perez CN, Ritchey C, Kuroda T, Montague K, Podlesnik CA. “Examining punishment of target behavior on resurgence: A parametric study of response cost and meta-analysis.” The 49th annual convention of ABAI, Denver, CO, May, 2023.
  22. Kuroda T, Ogawa T, Kobler R, Tsutsumi M, Kishi T, Kawanabe M. “A new type of neurofeedback based on EEG-fMRI simultaneous recording.” The 26th annual meeting of the Society for the Analysis of Human Behavior, Kyoto, Japan, March 18, 2023 (invited talk).
  23. Kishi T, Ogawa T, Kobler RJ, Kuroda T, Tsutsumi M, Kawanabe M. “Evaluation of artifact removal for EEG-fMRI simultaneous measurements using a carbon-wire loop.” Winter Workshop on Mechanism of Brain and Mind 2023, Hokkaido, Japan, January 6, 2023.

2022年

査読付き誌上発表論文/Jornal articles

  1. Tamano R, Ogawa T, Katagiri A, Cai C, Asai T, Kawanabe M.
    Event-related microstate dynamics represents working memory performance
    NeuroImage, 263, November, 2022.
  2. Ogawa T, Shimobayashi H, Hirayama J-I, Kawanabe M.
    Asymmetric directed functional connectivity within the frontoparietal motor network during motor imagery and execution
    NeuroImage, 247, February 15, 2022.

査読付き口頭発表論文/Reviewed presentations

  1. Kobler RJ, Hirayama J-I, Kawanabe M
    Controlling The Fréchet Variance Improves Batch Normalization on the Symmetric Positive Definite Manifold.
    Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3863-3867, Singapore, 2022.
  2. Kobler RJ, Hirayama J-I, Zhao Q, Kawanabe M
    SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG .
    Proc. Advances in Neural Information Processing Systems 35 (NeurIPS), New Orleans, 2022.
  3. Azuma D, Miyanishi T, Kurita S, Kawanabe M
    ScanQA: 3D Question Answering for Spatial Scene Understanding.
    Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.19129-19139, 2022.
  4. Hosoya H. “CIGMO: Categorical invariant representations in a deep generative framework,” UAI, in Uncertainty in Artificial Intelligence (UAI), August, 2022.

その他学術発表/Other academic presentations

  1. Tamano R, Ogawa T, Katagiri A, Cai C, Kawanabe M. “Event-related dynamics of EEG microstate characterizes working memory function.”, NEURO2022, Ginowan, Japan, June 30- July 3, 2022.
  2. *Ogawa T. “Identification of brain regions associated with spatial insight problem solving.”, Technical Committee of CQ, Kanazawa & online, Japan, Jan 27-28, 2022.
  3. Hosoya H, Chen M, Freiwald W. “Multiplicative computation in face-selective neurons”, NEURO2022, June 30-July 3, 2022.

2021年

査読付き誌上発表論文/Jornal articles

  1. Freiwald WA, Hosoya H
    Neuroscience: A Face’s Journey through Space and Time.
    Current Biology, Dispatch, 31(1), PR13-R15, 2021.
  2. Miyanishi T, Maekawa T, Kawanabe M
    Sim2RealQA: Using Life Simulation to Solve Question Answering Real-World Events.
    IEEE Access, 9(1), pp.75003-75020, 14 May 2021.
  3. Dissanayake T, Maekawa T, Hara T, Miyanishi T, Kawanabe M
    IndoLabel: predicting indoor location class by discovering location-specific sensor data motifs.
    IEEE Sensors Journal, 1(1), 06 August 2021.

査読付き口頭発表論文/Reviewed presentations

  1. Miyanishi T, Kawanabe M. “Watch, Listen, and Answer: Open-ended VideoQA with Modulated Multi-stream 3D ConvNets.”, Proc. 29th European Signal Processing Conference 2021 (EUSIPCO 2021), 2021.
  2. Hosoya H. “CIGMO: Learning categorical invariant deep generative models from grouped data.”, ICLR Workshop on Weakly Supervised Learning, 2021.

その他学術発表/Other academic presentations

  1. Ogawa T, Tamano R, Cai C, Katagiri A, Kawanabe M. “Improvement of depressive symptoms conducting EEG-based neurofeedback with fMRI biomarker.”, The 44th Annual Meeting of JNSS, Kobe, Japan, July 28-31, 2021.
  2. Tamano R, Ogawa T, Cai C, Katagiri A, Kawanabe M. “EEG-based neurofeedback training informed by fMRI biomarker improves schizophrenia symptoms.”, The 44th Annual Meeting of JNS, Kobe, Japan, July 28-31, 2021.
  3. Ogawa T, Takeuchi H, Ikeda S et al. “Connectome Prediction Model for representation of individual cognitive function.”, IEICE General Conference 2021, Online, Japan, Mar 9-12, 2021.
  4. *Ogawa T. “Individual representation of creativity using large-scale brain dataset.”, Technical Committee of CQ, Niigata & online, Japan, Jan 20-22, 2021 (*invited talk).

2020年

査読付き誌上発表論文/Jornal articles

  1. Aihara T, Shimokawa T, Ogawa T, Okada Y, Ishikawa A, Inoue Y, Yamashita O
    Resting-state functional connectivity estimated with hierarchical Bayesian diffuse optical tomography
    Front Neurosci, 31, 31 January 2020.
  2. Monti R, Gibberd A, Roy S, Nunes M, Lorenz R, Leech R, Ogawa T, Kawanabe M, Hyvarinen A.
    Interpretable brain age prediction using linear latent variable models of functional connectivity
    PLOS ONE, 15, (6):e0232296, Jun 10, 2020.
  3. Raman R, Hosoya H.
    Convolutional neural networks explain tuning properties of anterior, but not middle, face-processing areas in macaque inferotemporal cortex.
    Communications Biology, 3, 221, 2020.
  4. Li Y, Kanemura A, Asoh H, Miyanishi T, Kawanabe M.
    Multi-sensor integration for key-frame extraction from first-person videos.
    IEEE Access, 8, pp.122281–122291, July 9, 2020.

査読付き口頭発表論文/Reviewed presentations

  1. Miyanishi T, MaekawaT, Kawanabe M. “Two-Stream Spatiotemporal Compositional Attention Network for VideoQA.”, Proc. 31st British Machine Vision Conference 2020 (BMVC 2020), September 2020.

その他学術発表/Other academic presentations

  1. Ogawa T, Aihara T, Yamamshita O. “Identification of brain regions underlying spatial insight problem solving.”, SfNC2020, Online, USA, Oct 22-23, 2020.
  2. Ogawa T, Tamano R, Cai C, Katagiri A, Kawanabe M. “Estimation of brain biomarker states using EEG-fMRI simultaneous recordings and its application to EEG neurofeedback.”, 7th Japan Brain Machine Interface Symposium, Online, Oct 3, 2020.
  3. Tamano R, Ogawa T, Cai C, Kawanabe M. “Towards using EEG-Neurofeedback for the treatment of psychotic symptoms and working memory in Schizophrenia: A feasibility study in healthy subjects.”, ECNP2020 , Vienna (online), Austria, Sept 12-15, 2020.
  4. Tamano R, Ogawa T, Cai C, Kawanabe M. “Predicting of the schizophrenia classifier in EEG signals using dynamic functional connectivity: a simultaneous EEG-fMRI study in subclinical subjects.”, NPBPPP2020, Sendai(online), Austria, Aug 21-23, 2020.
  5. Tamano R, Ogawa T, Cai C, Kawanabe M. “Predicting of the schizophrenia classifier in EEG signals using dynamic functional connectivity: a simultaneous EEG-fMRI study in subclinical subjects.”, The 43rd Annual Meeting of JNSS, Kobe (online), Japan, Aug 21-23, 2020.
  6. Ogawa T. “Neuroscience of creativity: individual difference and brain dynamics.”, KANKO Online Exhibition 2021, online, Japan, Nov 17th, 2020 (invited).
  7. Ogawa T. “Brain technology.”, NTT docomo 5G evolution & 6G Summit, online, Japan, July 30th, 2020 (invited).
  8. Ogawa T. “Individual trait and brain dynamics associated with creative insight.”, The 43rd Annual Meeting of JNSS, Kobe (online), Japan, July 29th – Aug 1st, 2020 (oral presentation, symposium organizer).
  9. Ogawa T. “Non-invasive Functional Brain Imaging and Its Application.”, Technical Committee on CQ (CQ), Tokyo, Japan, Jan 16th, 2020 (invited).

2019年

査読付き誌上発表論文/Jornal articles

査読付き口頭発表論文/Reviewed presentations

  1. Hosoya H. “A deep generative model explaining tuning properties of monkey face processing patches.”, Computational Cognitive Neuroscience, Sep, 2019.
  2. Raman R, Hosoya H. “Does CNN Explain Tuning Properties of Face-Selective Neurons in Macaque IT?”, Computational Cognitive Neuroscience, Sep, 2019.
  3. Hosoya H. “Group-based learning of disentangled representations with generalizability for novel contents.”, The International Joint Conference on Artificial Intelligence (IJCAI), Aug, 2019.
  4. Tamano R, Ogawa T, Hirayama J, Kawanabe M. “Predicting schizophrenia-related functional connectivity from EEG using SPLICE filter: a statistical analysis with resting-state EEG-fMRI data.”, Real-time functional imaging and neurofeedback conference 2019 (rtfin2019), Maastricht, the Netherlands, and Aachen, Germany, Dec 7-11, 2019.
  5. Ogawa T, Moriya H, Hiroe N, Yamada T, Kawanabe M, Hirayama J. “Large-scale network estimation using SPLICE filter: an EEG-fMRI study.”, OHBM 2019, Rome, Italy, June 9-13.
  6. Zapf MP, Kawanabe M, Saiki LYM. “Pedestrian Density Prediction for Efficient Mobile Robot Exploration.”, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4615-4622, doi: 10.1109/IROS40897.2019.8967763, 2019.

その他学術発表/Other academic presentations

  1. Ogawa T, Moriya H, Hiroe N, Yamada T, Kawanabe M, Hirayama J. “Large-scale network estimation using SPLICE filter: an EEG-fMRI study.”, The 42nd Annual Meeting of JNSS, Niigata, Japan, July 24-28.
  2. Ogawa T. “Large-scale Brain Network Associated with Motor-imagery/execution: Using Neural Decoding and Causality Analysis.”, IEICE 15th Communication Behavior Engineering Seminar, Tokyo, Japan, Jan 17th.
  3. Ogawa T. “Brain dynamics associated with creative insight.” 16th Communication Behavior Engineering Seminar, Kobe, Japan, Sept 21st, 2019.
  4. Ogawa T. “What’s happened in our brain when we have Aha! experience?” JOEM Workshop’19, Kizugawa, Japan, July 4th, 2019(invited).

2018年

査読付き誌上発表論文/Jornal articles

  1. Fuchigami T, Shikauchi Y, Nakae K, Shikauchi M, Ogawa T, Ishii S
    Zero-shot fMRI decoding with three-dimensional registration based on diffusion tensor imaging
    Sci Rep., 8, 12342.
  2. Ogawa T., Aihara T, Shimokawa T, Yamashita O
    Large-scale brain network associated with creative insight: combined voxel-based morphometry and resting-state functional connectivity analyses
    Sci Rep., 8, 6477.

査読付き口頭発表論文/Reviewed presentations

  1. Hoshino T, Kanoga S, Kanemura A, Ogawa T. “A No-Reference Metric of Cerebral Blood Flow Extraction for fNIRS Data.”, IEEE-SMC’18, Miyazaki, Japan, Oct 7-10.
  2. Li Y, Kanemura A, Asoh H, Miyanishi T, Kawanabe M. “Supervised saliency maps for first-person videos based on sparse coding.”, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Honolulu, Hawaii, USA, 2018.
  3. Miyanishi T, Hirayama J, Kanemura A, Kawanabe M. ” Answering Mixed Type Questions about Daily Living Episodes.”, The 27th International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 2018.
  4. Zapf MP, Gupta A, Morales LM, Kawanabe M. “Data-driven 3-D classification of person object relationships and semantic context clustering for robotics and AI applications”, Proc. 27th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2018.
  5. Li Y, Kanemura A, Asoh H, Miyanishi T, Kawanabe M. “A sparse coding framework for gaze prediction in egocentric video.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018.
  6. Miyanishi T, Hirayama J, Maekawa T, Kawanabe M. “Generating an Event Timeline about Daily Activities from a Semantic Concept Stream.” Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA, 2018.

その他学術発表/Other academic presentations

  1. Ogawa T. “Brain structure difference associated with internet addiction.”, 第14回通信行動工学研究会, Nov 10th, 2018.
  2. Ogawa T, Moriya H, Yamada T, Kawanabe M, Hirayama J. “Extraction of EEG network components by using stacked pooling and linear components estimation.”, BIOMAG 2018, Philadelphia, USA, Aug 26-30, 2018.
  3. Ogawa T, Moriya H, Yamada T, Kawanabe M, Hirayama J. “Extraction of network components from EEG signal: data-driven approach by using stacked pooling and linear components estimation.”, Neuroscience 2018, Kobe, Japan, July 26-30, 2018.
  4. Hoshino T, Kanoga S, Kanemura A, Ogawa T. “Selecting artifactual independent Components from fNIRS Based on Decoding Analysis.”, IEEE EMBC’18, Honolulu, USA, July 17-21, 2018.
  5. Hoshino T, Kanoga S, Kanemura A, Ogawa T. “Dictionary learning of fNIRS signals to examine scalp blood flow.”, OHBM2018, Singapore, June 17-21, 2018.
  6. 川鍋 一晃, 山下 宙人, 森本 淳. “人を理解するためのBMI技術”, 情報処理学会誌 2018年1月号 特集「脳情報科学が拓くAIとICT」, 59(1) 54-59, 2018.
  7. 小川 剛史, 相原 孝次, 下川 丈明, 山下 宙人. “ひらめきに関する脳内ネットワークの個人差”, 第13回通信行動工学研究会, 2018.

2017年

査読付き誌上発表論文/Jornal articles

  1. Hosoya H, Hyvarinen A
    A mixture of sparse coding models explaining properties of face neurons related to holistic and parts-based processing
    PLoS Comput Biol., 13(7), e1005667, 2017.
  2. Samek W, Nakajima S, Kawanabe M, Mueller KR
    On robust parameter estimation in brain-computer interfacing
    J Neural Eng., 14(6), 061001. doi: 10.1088/1741-2552/aa8232.14, 2017.
  3. Aihara T, Ogawa T, Shimokawa T, Yamashita O
    Anodal transcranial direct current stimulation of the right anterior temporal lobe did not significantly affect verbal insight
    PLoS ONE 12(9), e0184749, 2017.

査読付き口頭発表論文/Reviewed presentations

  1. Li Y, Kanemura A, Asoh H, Miyanishi T, Kawanabe M
    Key frame extraction from first-person video with multi-sensor integration
    IEEE-ICME2017, Hong Kong, China, 2017.
  2. Li Y, Kanemura A, Asoh H, Miyanishi T, Kawanabe M
    Extracting key frames from first-person videos in the common space of multiple sensors
    IEEE-ICIP2017, pp.3993-3997, Beijing, China, 2017.
  3. Celikkanat H, Moriya H, Ogawa T, Kauppi JP, Kawanabe M, Hyvärinen A
    Decoding emotional valence from electroencephalographic rhythmic activity
    IEEE-EMBC’17, Jeju, Korea, July 11-15, 2017.
  4. Hirayama J, Hyvärinen A, Kawanabe M. “SPLICE: Fully tractable hierarchical extension of ICA with pooling.” International Conference on Machine Learning (ICML2017), Sydney, Australia, 2017.

その他学術発表/Other academic presentations

  1. Hirayama J, Hyvarinen A, Kiviniemi V, Kawanabe M, Yamashita O, “Characterizing variability of brain connectivity with constrained principal component analysis,” Yamada Symposium 2017 on “Neuroimaging of Natural Behaviors”, Tokyo Tech., Tokyo, 2017 (invited).
  2. 川鍋 一晃, 平山 淳一郎, Hyvaerinen A, Kiviniemi V, 山下 宙人, “制約付き主成分分析を用いた脳内ネットワーク結合の個人差の特徴付け”, 2017年度生命科学系学会合同年次大会 (ConBio2017), ワークショップ：「個性」創発神経基盤の統合的理解に向けた階層横断的解析, 神戸ポートアイランド（兵庫県）, 2017（招待）.
  3. Ogawa T, Moriya H, Yamada T, Kawanabe M, Hirayama J. “Prediction of resting state fMRI signatures from EEG signal: a study of EEG-fMRI simultaneous recording.” rtfin2017, Nara, Japan, Nov 29, 2017.
  4. Hirayama J, Ogawa T, Moriya H, Hyvarinen A, Kawanabe M. “Exploring EEG source resting-state networks by SPLICE: A simultaneous fMRI study.” rtfin2017, Nara, Japan, Nov 29, 2017.
  5. Moriya H, Ogawa T, Kawanabe M, Hirayama J. “Predictability of amygdala BOLD signal from multiple-electrode EEGs.” rtfin2017, Nara, Japan, Nov 29, 2017.
  6. Ogawa T, Aihara T, Shimokawa T, and Yamashita O. “Large-scale network associated with creative insight: Data-driven approach by using VBM-constrained resting-state functional connectivity analysis.” SfN 2017, Washington DC, USA, Nov 11-15, 2017.
  7. Ogawa T, Aihara T, Shimokawa T, and Yamashita O. “Robust large-scale network associated to individual creative insight: VBM-constrained resting-state functional connectivity analysis.”, Neuroscience 2017, Chiba, Japan, July 20-23, 2017 .

2016年

査読付き誌上発表論文/Jornal articles

  1. Hosoya H, Hyvarinen A
    Learning visual spatial pooling by strong PCA dimension reduction
    Neural Comput.,28(7), 1249-64, 2016.
  2. Hirayama J, Hyvärinen A, Kiviniemi V, Kawanabe M, Yamashita O.
    Characterizing variability of modular brain connectivity with constrained principal component analysis
    PLOS ONE, 11, e0168180, 2016.
  3. Hyvärinen A, Hirayama J, Kiviniemi V, Kawanabe M.
    Orthogonal connectivity factorization: Interpretable decomposition of variability in correlation matrices
    Neural Computation, 28, pp.445-484, 2016.

査読付き口頭発表論文/Reviewed presentations

  1. Miyanishi T, Hirayama J, Kong Q, Maekawa T, Moriya H, Suyama T
    Egocentric video search via physical interactions
    30th AAAI Conference on Artificial Intelligence(AAAI2016), Phoenix, USA, 2016.2.12-2.17.

その他学術発表/Other academic presentations

  1. 宮西 大樹,平山 淳一郎,前川 卓也,孔 全,守谷 大樹,須山 敬之,“環境との相互作用を用いた一人称視点映像の検索”,情報処理学会第78回全国大会, 神奈川県, 2016.
  2. 守谷 大樹, “機械学習を利用した情動の心理生理学研究”, 第34回日本生理心理学会大会, 愛知県, 2016.
  3. Hyvarinen A, Hirayama J, Kiviniemi V, Kawanabe M, “Analysing non-stationarity by a new matrix decomposition method,” OHBM2016, Geneva, Switzerland, 2016.

2015年

査読付き誌上発表論文/Jornal articles

  1. Morioka H, Kanemura A, Hirayama J, Shikauchi M, Ogawa T, Ikeda S, Kawanabe M, Ishii S
    Learning a common dictionary for subject-transfer decoding with resting calibration
    NeuroImage, 111, 167-178, 2015.
  2. Singh AK, Asoh H, Takeda Y, Phillips S
    Statistical detection of EEG synchrony using empirical bayesian inference
    PLoS ONE, 10(3), e0121795, 2015
  3. Hirayam J, Ogawa T, Hyvarinen A
    Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis
    Neural Comput, 27(7), 1373-404, 2015.
  4. Ugur E, Nagai Y, Sahin E, Oztop E
    Staged development of robot skills: Behavior formation, affordance learning and imitation with motionese
    Transactions on Autonomous Mental Development, 2015.
  5. Hosoya H, Hyvarinen A
    A hierarchical statistical model of natural images explains tuning properties in V2
    J Neurosci, 35(29), 10412-10428, 2015

査読付き口頭発表論文/Reviewed presentations

  1. Ogawa T, Hirayama J, Gupta P, Moriya H, Yamaguchi S, Ishikawa A, Inoue Y, Kawanabe M, Ishii S
    “Brain-machine interfaces for assistive smart homes: a feasibility study with wearable near-infrared spectroscopy”
    IEEE-EMBC’15, Milan, Italy, 2015.

その他学術発表/Other academic presentations

  1. Ishii S. “Data-driven brain computer interface in real environments”, 3rd International Winter Conference on Brain-Computer Interface 2015, invited (High1 Resort, Korea), 2015.
  2. Ishii S. “Data-driven brain decoding techniques”, 10th AEARU Workshop on Computer Science and Web Technology 2015, Tsukuba University, invited (筑波市、茨城県), 2015.
  3. 守谷 大樹, 鹿内 学, 平山 淳一郎, 小川 剛史, 石井 信. “電気生理学的指標を用いた情動識別の比較”, 第33回 日本生理心理学会大会, 大阪府, 2015.
  4. 小川 剛史. “実生活空間に広がるBMI技術とその応用”, 日本認知心理学会第13回大会, 東京都, 2015 (invited).
  5. Kanemura A. “Measuring unconstrained human activities in daily life”, 第6回新潟大学脳研究所共同研究拠点国際シンポジウム, 新潟県, 2015.
  6. Hosoya H. “Understanding representations in visual cortex with hierarchical statistical models of natural images”, 第6回新潟大学脳研究所共同研究拠点国際シンポジウム, 新潟県, 2015.
  7. Kong Q, Maekawa T, Miyanishi T, Suyama T. “Selection method for Electric appliances based on the context using GoogleGlass”, 第47回情報処理学会ユビキタスコンピューシングシステム研究会, 2015-UBI-47(21), 1-8, 大阪府, 2015.
  8. Yano K. “Building dense 3D maps of indoor environments from kinect RGB-D images”, 第18回画像の認識・理解シンポジウム, 大阪府, 2015.
  9. Ogawa T, Hirayama J, Gupta P, Abdur-Rahim J, Moriya H, Yano K, Kawanabe M, Ishii S., “An application of NIRS-based brain machine interface in the realistic environment: supporting appliance control with online single-trial decoding”, Neurosience2015, Kobe, 2015.
  10. Pehlivan AB, Oztop E. “A comparison of dynamic movement primitives with hidden markov models in human motion recognition,” 17th International Conference on Advanced Robotics (ICAR2015), Istanbul, Turkey, 2015.
  11. Panknin D, von Buenau P, Kawanabe M, Meinecke F, Mueller KR. “Higher order stationary subspace analysis,” Journal of Physics: Conference Series,International Meeting on High-Dimensional Data-Driven Science (HD3-2015), 699(012021), 2015.
  12. Kawanabe M. “On possibilities and difficulties in adaptive brain-computer interface in real environments”,Germany-Japan Adaptive BCI Workshop, 京都大学 (2015.10.28-10.29)
  13. Hosoya H, Hyvarinen A. “Hierarchical sparse coding model and shape representation in V4”, SfN 2015, Chicago, USA, 2015.

2014年

査読付き誌上発表論文/Jornal articles

  1. Kawanabe M, Samek W, Mueller KR, Vidaure C.
    Robust common spatial filters with a maxmin approach
    Neural Comput., 26(2), 349-76, 2014.
  2. 竹内 亨、坂野 遼平、馬越 健治、兼村 厚範、川鍋 一晃、川野 哲生、神林 隆、武本 充治、松尾 真人、柿沼 隆馬
    エージェントベース分散処理基盤の提案とBMI応用サービスへの適用による評価
    情報処理学会論文誌, 55(2), 681-694, 2014.
  3. Morioka H, Kanemura A, Morimoto S, Yoshioka T, Oba S, Kawanabe M, Ishii S
    Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information
    NeuroImage, 90, 128-139, 2014.
  4. 平山 淳一郎、石井信、“潜在空間モデリングによる時系列からの再構成”, 電子情報通信学会誌 Vol.97, No.5, pp.399-404 (2014.5.1)
  5. Ugur, E., Nagai, Y., Celikkant, H., Oztop, E., “Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills”, Robotica DOI:10.1017/S0263574714002148 (2014.8.19)
  6. Ahamed T, Kawanabe M, Ishii S, Callan D.
    Structural differences in gray matter between glider pilots and non-pilots. A voxel based morphometry study
    Frontiers in Neurology, 35(29), fneur.2014.00248, 2014.

査読付き口頭発表論文/Reviewed presentations

  1. Hosoya H, Hyvarinen A
    Four-layer sparse coding model of natural images that reproduces tuning properties in V1, V2 and V4
    Computational and Systems Neuroscience, 145, II-77, Salt Lake City, USA, Feb 27-Mar 2, 2014.
  2. Samek W, Mueller,KR, Kawanabe M
    Robust common spatial patterns by minimum divergence covariance estimator
    ICASSP2014, 2059-2062, Florence, Italy, May 4-9, 2014.
  3. Hirayama J, Ogawa T, Hyvarinen A
    Simultaneous blind separation and clustering of coactivated EEG/MEG sources for analyzing spontaneous
    IEEE-EMBC 2014, Chicago, USA, Aug 26-30, 2014.
  4. Morales-Saiki LY, Abdur-Rahim JA, Even J, Watanabe A, Kondo T, Hagita N, Ogawa T, Ishii S
    Modeling of Human Velocity Habituation for Robotic Wheelchair
    IEEE/RAS International Conference on Humanoid Robots, Madrid, Spain, Sept 14-18, 2014.
  5. Abdur-Rahim JA, Ogawa T, Hirayama J, Ishii S
    Database-driven artifact detection method for EEG systems with few channels
    IEEE Biomedical Circuits and Systems Conference, 5-7, Lausanne, Switzerland, Oct 22-24, 2014.

その他学術発表/Other academic presentations

  1. Kawanabe M, “Robust feature construction against non-stationarity for EEG-BMI decoders”, 2nd International Winter Workshop on Brain-Computer Interface, High1 Resort, Korea, Feg 17-19, 2014.(invited)
  2. 石井 信、“データベースに基づくブレイン・マシン・インタフェース”、第37回日本神経科学大会サテライトシンポジウム 「脳情報の産業応用に向けた動向と社会基盤整備」(横浜市、神奈川県)　(2014.9.10)
  3. Ogawa,T., Gupta, P., Abdur-Rahim, J.A., Yano, K., Morioka, H., Hirayama, J., Yamaguchi, S., Ishikawa, A., Inoue, Y., Kawanabe, M., Ishii, S., “Decoding daily-life behavioral signatures in the real environment: portable NIRS signal using behavior labels”, 第37回日本神経科学大会 (横浜市、神奈川県) (2014.9.11-9.13)
  4. Abdur-Rahim, J.A., Ogawa, T., Kawanabe, M., Ishii, S., “Exploring the role of eye blinking in terms of attention/arousal: a method to quantify a person’s mental”, 第37回日本神経科学大会 (横浜市、神奈川県) (2014.9.11-9.13)
  5. Morioka, H., Kanemura, K., Hirayama, J., Shikauchi, M., Ogawa, T., Ikeda, S., Kawanabe, M., Ishii, S., “Subject-independent BMI through sparse learning of spatial bases common across sessions and subjects”, 第37回日本神経科学大会 (横浜市、神奈川県) (2014.9.11-9.13)
  6. Morioka, H., Kanemura, A., Hirayama, J., Ogawa, T., Ikeda, S., Kawanabe, M., Ishii, S, “Subject-independent decoding from EEG through sparse learning of spatial bases common across sessions and subjects”, Advance in Neuroinformatics 2014 (Wako, Saitama) (2014.9.25-9.26)
  7. Ogawa, T., Gupta, P., Yano, K., Abdur-Rahim, J. A., Morioka, H., Hirayama, J., Yamaguchi, S., Ishikawa, A., Inoue, Y., Kawanabe, M., Ishii, S., “Decoding daily behaviors from NIRS signatures by using a portable NIRS device in the daily-life”, Neuroscience 2014, Washington DC, USA, 2014.11.15-11.19.
  8. Hyvarinen, A., Hirayama, J., Kawanabe, M., “Dynamic Connectirity Factorization: Interpretable decompositions of non-stationarity,” Proc. 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI2014), 4 pp., Tuebingen, Germany, 2014.

2013年

査読付き誌上発表論文/Jornal articles

  1. Oztop E, Kawato M, Arbib MA
    Mirror neurons: functions, mechanisms and models
    Neuroscience Letters, 540, 43-55, 2013.
  2. Samek W, Kawanabe M, Mueller KR
    Divergence-based Framework for Common Spatial Patterns Algorithms
    IEEE Rev Biomed Eng, 7, 50-72, 2013.

査読付き口頭発表論文/Reviewed presentations

  1. Singh A, Ogawa T, Hirayama J, Maruyama M, Kawanabe M, Ishii S
    Spatio-temporal and cortical characterization of EEG changes during motor imagery
    6th Congress of Neuroinformatics, 150-151, Stockholm, Sweden, Aug 27-29, 2013.
  2. Kanemura A, Morales-Saiki LY, Kawanabe M, Morioka H, Kallakuri N, Ikeda T, Miyashita T, Hagita N, Ishii S
    A waypoint-based framework in brain-controlled smart home environments: brain interfaces, domotics, and robotics integration
    IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Nov 3-7, 2013.
  3. Samek W, Blythe D, Mueller KR, Kawanabe M
    Robust spatial filtering with beta divergence
    Proc. Neural Information Processing Systems (NIPS2013), 9, Lake Tahoe, USA, 2013.

その他学術発表/Other academic presentations

  1. Ugur, E., “Unsupervised discovery of actions and action possibilities”, Mechanisms of Ongoing Development in Cognitive Robotics (Wadern, Germany) (2013.2.10-2.15)
  2. Ishii, S., “Network-based BMI: toward brain machine interface in real environments”, Multimodal Neuroimaging Workshop, UCLA IPAM, invited (Los Angeles, USA) (2013.3.04-3.08)
  3. Morishige, K., Yoshioka, T., Ishii, S., Sato, M., Kawato, M., “Source separation of cortical and extra-brain source activities in real MEG data during covert pursuit eye movement”, 第36回日本神経科学大会,第56回日本神経化学会大会,第23回日本神経回路学会大会 合同大会 (京都市、京都府) (2013.6.20-6.23)
  4. Hirayama, J., Shikauchi, Y., Nakamura, Y., Maeda, S., Takenouchi, T., Kanemura, A., Kawanabe, M., Ishii, S., “Decoding hand movements in everyday activities actions from magnetoencephalography”, 第36回日本神経科学大会,第56回日本神経化学会大会,第23回日本神経回路学会大会 合同大会 (京都市、京都府)　(2013.6.20-6.23)
  5. Ogawa, T., Azuma, Y., Ishii, S., “Change of brain activity effect from motor imagery training: application for EEG-based brain machine interface”, 第36回日本神経科学大会,第56回日本神経化学会大会,第23回日本神経回路学会大会 合同大会 (京都市、京都府) (2013.6.20-6.23)
  6. Singh, A., Ogawa, T., Yoshioka, T., Hirayama, J., Maruyama, M., Kawanabe, M., Ishii, S., “Event related dynamics of EEG oscillations in cued motor imagery”, 第36回日本神経科学大会,第56回日本神経化学会大会,第23回日本神経回路学会大会 合同大会 (京都市、京都府)　(2013.6.20-6.23)
  7. Hosoya, H., Sasaki, K., Ohzawa, I., “Estimating invariant dimensions in V2”, 第36回日本神経科学大会,第56回日本神経化学会大会,第23回日本神経回路学会大会 合同大会 (京都市、京都府)　(2013.6.20-6.23)
  8. Ishido, N., Morimoto, S., Kanemura, A., Maruyama, M., Kawanabe, M., Ishii, S., Saruwatari, H., Shikano, K., “An auditory ERP-based BMI for a universal controller in a real environment”, 第36回日本神経科学大会,第56回日本神経化学会大会,第23回日本神経回路学会大会 合同大会 (京都市、京都府)　(2013.6.20-6.23)
  9. Shikauchi, Y., Ishii, S., “Decoding scene prediction associated with decision making”, 第36回日本神経科学大会,第56回日本神経化学会大会,第23回日本神経回路学会大会 合同大会 (京都市、京都府)　(2013.6.20-6.23)
  10. Morioka, H., Kanemura, A., Morimoto, S., Yoshioka, T., Kawanabe, M., Ishii, S., “Decoding of spatial attention from cortical currents estimated from EEG with NIRS prior”, 第36回日本神経科学大会,第56回日本神経化学会大会,第23回日本神経回路学会大会 合同大会 (京都市、京都府)　(2013.6.20-6.23)
  11. Ishii, S., “Brain machine interface and decoding in mobile environments”, Modeling Neural Activity: Statistics, Dynamical Systems, and Networks, invited (Hawaii USA) (2013.6.26-6.28)
  12. Shikauchi, Y., Ishii, S., “Prediction was predictable from human brain activity in fronto-parietal cortex”, Computational Neuroscience Meeting (Paris, France) (2013.7.13-7.18)
  13. 石堂　なつみ、小川　剛史、 森本　智志、 兼村　厚範、 丸山　雅紀、 川鍋　一晃、 石井　信、 猿渡　洋、 鹿野　清弘、 中村　哲、 “聴覚注意を用いたブレインマシンインタフェースに関する基礎検討”、 応用音響研究会、北海道医療大学 (石狩郡、北海道) (2013.7.18-7.19)
  14. 鹿内　学、水原　啓暁、 “相手の非協調性に関わる脳活動により変化する報酬系領野間の情報伝達”、 電子情報通信学会ニューロコンピューティング研究会　徳島大学 (徳島市、徳島県)　(2013.7.19-7.20)
  15. Kawanabe, M., Abdur-Rahim, J. A., 坂野 遼平, 竹内 亨,　神林 隆, 武本充治, “Novel and innovative R&D making use of brain structures”, 37th Annual International Computer Software & Applications Conference (COMPSAC2013), (京都市、京都府) (2013.7.22-7.26)
  16. Maruyama, M., “Integration of reward and pain in pavlovian and instrumental decision-making”, 8th Congress of the European Federation of IASP Chapters (Florence, Italy) (2013.10.9-10.12)
  17. Kawanabe, M., Kanemura, A., Morales-Saiki, L. Y., Morioka, H., Kallakuri, N., Ikeda, T., Miyashita, T., Hagita,N., Ishii, S., “A Waypoint-based Framework and Data-driven Decoder for Brain-Machine Interface in Smart Home Environments”, IEEE/RSJ International Conference on Intelligent Robots and Systems, invited, Tokyo Big Site, (Koto-ku, Tokyo) (2013.11.3-11.8)
  18. Shikauchi, M., Mizuhara, H., “Brain activity by selfish partner dynamically modulates the reward-related cortical network”, Neuroscience 2013, San Diego, USA, Nov, 2013
  19. 植野 剛, 前田 新一, 川鍋 一晃, “統計学の観点から見たTD学習”, 計測と制御、リレー解説「強化学習の最近の発展」, 52(3):277-283, 2013.

2012年

査読付き誌上発表論文/Jornal articles

  1. Samek W, Vidaurre C, Müller KR, Kawanabe M
    Stationary common spatial patterns for brain-computer interfacing
    J Neural Eng, 9(2), 026013, 2012.
  2. Binder A, Nakajima S, Kloft M, Müller C, Samek W, Brefeld U, Müller KR, Kawanabe M
    Insights from classifying visual concepts with multiple kernel learning
    PLoS ONE, 7(8), e38897, 2012.
  3. Binder A, Samek W, Müller KR, Kawanabe M
    Enhanced representation and multi-task learning for image annotation
    Computer Vision and Image Understanding, 117(5), 466-478, 2012.

査読付き口頭発表論文/Reviewed presentations

  1. Samek W, Müller KR, Kawanabe M, Vidaurre V
    Brain-Computer Interfacing in discriminative and stationary subspaces
    IEEE-EMBC2012, 4, San Diego, USA, 2012.
  2. Ugur E
    Self-discovery of motor primitives and learning grasp affordances
    IEEE/RSJ International Conference on Intelligent Robots and Systems, 3260-3267, Vilamoura, Portugal, Oct 7-12, 2012.

その他学術発表/Other academic presentations

  1. Ishii S, “Toward brain machine interface in real environments”, 4th International Symposium on Brain and Cognitive Engineering, Seoul, Korea, May 31-Jun 1, 2012 (invited).
  2. Fukushima M, Yamashita O, Kanemura A, Ishii S, Kawato M, Sato M, “A state-space modeling approach for reconstructing the spatially focal and temporally smooth current sources using the spatially inhomogeneous dynamical model”, BIOMAG 2018, Paris, France, Aug 28, 2012.
  3. Kawanabe M, “Challenges towards brain-machine interfaces for supporting elderly and disabled people in daily life,” Beriln Brain-Computer Interface(BBCI) Workshop 2012 on Advances in Neurotechnology, Berlin, Germany, 2012 (invited).
  4. Singh AK, Takeda Y, Asho H, Philiips S, “Empirical bayes inference for analyzing functional connectivity from EEG data”, Neuroscience 2012, Nagoya, Japan, Sept 18-21, 2012.
  5. Ishii S, “Toward brain machine interface in real environment”, Neuroscience 2012, Nagoya, Japan, Sept 18-21, 2012.
  6. 兼村 厚範, “統計的画像処理におけるモデリングの方向性について”, 人工知能学会 第87回 人工知能基本問題研究会, 25, 慶應大学日吉ｷｬﾝﾊﾟｽ, 横浜市, 神奈川県, Nov 17, 2012.

2011年

査読付き誌上発表論文/Jornal articles

査読付き口頭発表論文/Reviewed presentations

その他学術発表/Other academic presentations

  1. 石井 信、“ネットワーク社会のブレインマシンインターフェース”、 電子情報通信学会通信ソサイエティ総会　招待講演、北海道大学 (札幌市、北海道) (2011.09.13-9.16)
  2. 石井 信、“ネットワーク型ブレインマシンインターフェースに向けて”、 第34回日本神経科学大会 (横浜市、神奈川県) (2011.9.14-9.17)

その他/Other

その他発表/Other presentations

  1. 川鍋　一晃, 「脳型人工知能」（担当：脳機能イメージング、ブレインマシンインタフェース、ニューロフィードバック）, 九州工業大学集中講義（分担3コマ）, 2017.
  2. 川鍋　一晃, “実環境BMI研究の現状と課題－工学者から脳外科医へ－”, 第4回脳神経外科BMI懇談会特別シンポジウム, 東京医科歯科大学（東京都）, 2017.
  3. 川鍋　一晃, “ニューロフィードバッックの最新動向”, JOEM Workshop ’17「デジタルヘルスケア」, 新宿NSビル（東京都）, 2017（招待）.
  4. Akasaki,T., Kawasaki, M., “Construction of a system for managing and reuse the physiological data with various modalities”, 新学術領域「非線形 発振現象を基盤としたヒューマンネイチャーの理解」神経データ解析ワークショップ (京都大学附属病院）(2016.2.22)
  5. 川鍋　一晃, “ブレイン・マシン・インタフェース”,公益社団法人日本磁気学会　第4回岩崎コンファレンス
    「医工学とビッグデータが拓く医療の未来」, 招待講演, (中央大学駿河台記念館, 東京都) (2016.5.16-5.17)
  6. 須山　敬之, “日常生活の支援を可能とするネットワーク型ブレイン・マシン・インタフェースの研究開発”, 招待講演, 電子情報通信学会 知的環境とセンサネットワーク研究会(ASN), (構造計画研究所,東京都) (2016.5.12-5.13)
  7. 石井 信、須山 敬之、川鍋 一晃、“日常生活の支援を目指すネットワーク型ブレイン・マシン・インタフェース”、第7回脳プロ公開シンポジウム「育ち・暮らし・老い」学術総合センター (東京都) (2015.2.7)
  8. 守谷　大樹、“脳波を用いた情動解読研究：実環境と実験室における検証”、「実環境応用を志した情動の心理生理学・神経科学研究」国立研究開発法人産業技術総合研究所人間情報部門情報数理研究グループ（つくば市、茨城県）（2015.6.18)
  9. 宮西　大樹、“人間の視覚記憶拡張に向けた一人称始点映像の検索”、人工知能ゲストレクチャー　甲南大学(兵庫県）（2015.7.6)
  10. 須山　敬之、“実生活環境におけるブレイン・マシン・インターフェイスの実現に向けて”、センシング技術応用研究会第192回研究例会 (大阪府）（2015.9.4)
  11. 川鍋　一晃、小川　剛史、守谷　大樹、宮西　大樹、矢野　憲、須山　敬之、“ネットワーク型ブレイン・マシン・インタフェース〜日常的環境における生活支援の実現に向けたBMI〜”, ATRオープンハウス2015 (京都府)(2015.10.29-10.30)
  12. 鹿内 友美、石井 信、“fMRI 脳活動からprior beliefを読み出す”、 脳と心のメカニズム 第14回冬のワークショップ (ルスツ、北海道) (2014.1.8-1.9)
  13. 小山田　創哲、鹿内　友美、 石井　信、“大規模fMRIデータベースからの脳活動表現の学習”、　脳と心のメカニズム 第14回冬のワークショップ (ルスツ、北海道) (2014.1.8-1.9)
  14. 川鍋 一晃、石井 信、”日常生活の支援を目指すネットワーク型ブレインマシンインターフェース”, 第6回脳プロ公開シンポジウム「つながりの脳科学」, 学術総合センター (東京都), 2014.
  15. 川鍋 一晃、“脳情報解読技術の未来と情報通信分野への展開”、第31回情報処理通信学会大会 シンポジウム, 大阪大学中之島センター (大阪市、大阪府) (2014.6.28)
  16. 川鍋 一晃、“ブレイン・マシン・インタフェースのための非定常性に対してロバストな脳波特徴量の構築法について”、北陸先端科学技術大学院大学情報科学研究科セミナー (能美市、石川県) (2014.10.17)
  17. 川鍋 一晃、“日常環境ブレイン・マシン・インタフェースのための脳情報解読法について”、NAISTゼミナール, 奈良先端科学技術大学院大学　(生駒市、奈良県)　(2014.10.22)
  18. 須山 敬之、“脳の仕組みを活かしたイノベーション 〜ブレイン・マシン・インタフェース”、社会イノベーション Smart City Week 2014 (横浜市、神奈川県) (2014.10.31)
  19. 須山 敬之、川鍋 一晃、 Abdur-Rahim, J.A.、“ネットワーク型ブレイン・マシン・インタフェース 〜日常的環境における生活支援の実現に向けたBMI”、ATRオープンハウス2014 (相楽郡、京都府) (2014.11.6-11.7)
  20. 平山 淳一郎、西 大樹、 矢野 憲、“脳波の共活性成分分析 〜BMIに関連した脳活動状態の発見・抽出〜”、ATRオープンハウス2014 (相楽郡、京都府) (2014.11.6-11.7)
  21. Oztop, E., “Action understanding and generation”, Turkish German Multimodal Interaction Summit (Istanbul, Turkey) (2014.11.11)
  22. 森岡 博史、兼村 厚範、 川鍋 一晃、 吉岡 琢、 森本 智志、 石井 信、 “NIRSを事前情報としEEGから推定された皮質電流からの空間注意のデコーディング”、 脳と心のメカニズム第13回冬のワークショップ (ルスツ、北海道) (2013.1.9-1.11)
  23. 鹿内 友美、石井 信、 “三次元ナビゲーション環境におけるシーン予測のデコーディング”、 脳と心のメカニズム第13回冬のワークショップ (ルスツ、北海道) (2013.1.9-1.11)
  24. 石井 信、 “ネットワーク型ブレイン・マシン・インターフェースと一般生活環境への応用可能性”、 低消費電力高圧LSI技術懇談会 招待講演、東京大学生産技術研究所、駒場リサーチｷｬﾝﾊﾟｽ (目黒区、東京都) (2013.3.11)
  25. 鹿内 友美、石井 信、“脳内で予測された次時刻シーンのデコーディング”、 電子情報通信学会ニューロコンピューティング研究会、Vol.112, No.480, pp.239-242、玉川大学 (町田市、東京都) (2013.3.15)
  26. 川鍋 一晃、 “日常生活支援を目指すネットワーク型ブレインマシンインタフェース”、 第5回 脳プロ公開シンポジウム, 学術総合センター (千代田区、東京都) (2013.2.2)
  27. 石井 信、 “ネットワーク型ブレイン・マシン・インターフェースと生活支援への応用”、 第1回医工連携人材育成セミナー、招待講演　京都大学 (京都市、京都府) (2013.9.16)
  28. 川鍋 一晃、鹿内 学、 石井 信、 “日常生活の支援を目指すネットワーク型ブレインマシンインタフェース”、 脳プロ公開シンポジウム IN 名古屋, (名古屋市、愛知県) (2013.9.14)
  29. 竹内 亨、石井 信、川野 哲生、“JGN-Xを活用した研究開発成果の事例 ～ネットワーク型BMIプロジェクトにおける分散管理・処理基盤の研究開発～”、JGN-XのHP等(NICT)　(2013.5.17)
  30. 竹内 亨、石井 信、川野 哲生、“JGN-Xを活用した研究開発成果の事例 ～ネットワーク型BMIプロジェクトにおける分散管理・処理基盤の研究開発～”、JGN-XのHP等(NICT)　(2013.6.20)
  31. 小川 剛史、鹿内 学、 Abdur-Rahim Jamilah、 矢野 憲、Gupta Pankaji、 川鍋 一晃、 石井 信、 “日常的環境における生活支援の実現に向けたネットワーク型BMI (BMIハウス一般公開)”、 ATRオープンハウス2013 (相楽郡、京都府) (2013.11.7-11.8)
  32. 森岡 博史、川鍋 一晃、 平山 淳一郎、 丸山 雅紀、 鹿内 学、 “NIRS-EEGによる空間注意の識別”、 ATRオープンハウス2013 (相楽郡、京都府) (2013.11.7-11.8)
  33. 川鍋 一晃、平山 淳一郎、 森岡 博史、 丸山 雅紀、 鹿内 学、 “日常環境におけるネットワーク型BMI”、 ATRオープンハウス2013 (相楽郡、京都府) (2013.11.7-11.8)
  34. Abdur-Rahim, J. A., “BMI House” 、 国際サイエンスカフェ「最先端脳科学テクノロジー」、招待講演 (大阪市、大阪府) (2013.11.18)
  35. 石井 信、兼村 厚範、“日常生活の支援を目指すネットワークBMI”、 第4回脳プロ公開シンポジウム, 学術総合センター (千代田区、東京都) (2012.2.4)
  36. 石井 信、 “BMIスマートハウス〜ブレインマシンインタフェースによる生活支援”、 ATRオープンハウス2012, 研究開発講演 (相楽郡、京都府) (2012.11.8-11.9)
  37. 平山 淳一郎、森本 智志、 丸山 雅紀、 “脳活動から手の動きを解読予測する手法”、 ATRオープンハウス2012 (相楽郡、京都府) (2012.11.8-11.9)
  38. 川鍋 一晃、兼村 厚範、 小川 剛史、 Ugur Emre、 Singh Archana、 Abdur-Rahim Jamilah、 Ahamed Toshif、 “ネットワーク型BMIによる実環境BMIシステムの開発”, ATRオープンハウス2012 (相楽郡、京都府) (2012.11.8-11.9)
  39. 石井 信、 “ネットワーク型BMIによるイノベーション創成”、ATRオープンハウス2011 (相楽郡、京都府) (2011.11.11-11.12)

受賞/Award

  1. Morioka, H., Best Poster Award of the10th AEARU Workshop on Computer Science and Web Technology, “Subject-transfer decoding by learning a common dictionary from multisubject dataset”, 2014.2.25

以前の出版物

DBI設立（2010年）以前の出版物については、DBIの分派元であるCBIのページをご参照ください。

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