記事インデックス

2019年度研究業績

学術論文誌

  • Ito, R., Nakae, K., Hata, J., Okano, H., & Ishii, S. (2019). Semi-Supervised Deep Learning of Brain Tissue Segmentation, Neural Networks, 116:25-34
  • Liang, Z., Oba, S., & Ishii, S. (2019). An unsupervised EEG decoding system for human emotion recognition, Neural Networks, 116:257-268
  • Ohnishi, S., Uchibe, E., Yamaguchi, Y., Nakanishi, K., Yasui, Y., & Ishii, S. (2019). Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning, Frontiers in Neurorobotics, 13:103 https://doi.org/10.3389/fnbot.2019.00103
  • Urakubo, H., Bullmann, T., Kubota, Y., Oba, S., & Ishii, S. (2019). UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images, Scientific Reports, 9(1):19413 https://doi.org/10.1038/s41598-019-55431-0
  • Yoon, Y., Park, J., Taniguchi, A., Kohsaka, H., Nakae, K., Nonaka, S., Ishii, S., & Nose, A. (2019). System level analyses of motor-related neural activities in larval Drosophila. Journal of Neurogenetics, 33(3), 179-189, doi: 10.1080/01677063.2019.1605365.
  • Nishimoto, T., Higashi, H., Morioka, H., & Ishii, S. (2020). EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability, Journal of neural engineering, [Epub ahead of print] doi: 10.1088/1741-2552/ab6d89
  • Lee, S., Negishi, M., Urakubo, H., Kasai, H., & Ishii, S. (2020). Mu-net: Multi-scale U-net for Two-Photon Microscopy Image Denoising and Restoration, Neural Networks, 125:92-103, https://doi.org/10.1016/j.neunet.2020.01.026
  • Higashi, H., Bui, M.V., Syahir, A., Nakauchi, S. (2020), Computational lighting for extracting optical features from RGB images, Measurement, 151:107183 doi: 10.1016/j.measurement.2019.107183
  • Higashi, H., Minami, T., Nakauchi, S. (2019) Cooperative update of beliefs and state-transition functions in human reinforcement learning, Scientific Reports, 9:17794 doi: 10.1038/s41598-019-53600-9
  • Nakae K., Statistical Estimation of Phase Response Curves Using Data Transformation, Journal of the Physical Society of Japan 88.8 (2019): 084003. doi: 10.7566/JPSJ.88.084003


国際会議

  • Katayama, R., Ishii, S., and Yoshida, W. (2019) Decoding scene prediction and its confidence during maze exploration. Joint Meeting of International Brain Research Organization (IBRO2019), Daegu, Korea, 2019.9.22
  • Liang, Z., Higashi, H., Oba, S., & Ishii, S. (2019). Brain dynamics encoding from visual input during free viewing of natural videos. IJCNN, Budapest, Hungary, 2019/7/14
  • Hwang, J., Ishii, S., & Oba, S. (2019) Online motion synthesis framework using a simple mass model based on predictive coding, Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2019/07/30 https://dl.acm.org/doi/abs/10.1145/3309486.3339894
  • Meshgi, K., Mirzaei, M. S., Oba, S. Long and Short Memory Balancing in Visual Co-Tracking Using Q-Learning. IEEE International Conference on Image Processing (ICIP), pp. 3970-3974, Taipei, Taiwan 2019/10/22-25 https://ieeexplore.ieee.org/abstract/document/8803577
  • Nakae K, Data assimilation on a whole brain using Brain/MINDS database, Workshop: Theory towards Brains, Machines and Minds, Wako, RIKEN CBS, 2019/10/15 (invited)

国内会議

  • 清水智史、石井信、吉田和子 (2020) 経験と観察に基づく価値統合に関する行動実験とその解析
    電子情報通信学会 ニューロコンピューティング研究会(NC)2020.1.23
  • 山口陽太郎、小山田創哲、中江健、石井信 (2020) コントラクトブリッジにおけるエージェント間コミュニケーション戦略の強化学習
    電子情報通信学会 非線形問題研究会(NLP)2020.1.25
  • 東広志, Bui Minh Vu, Aziz Ahmad Syahir, 中内茂樹 (2019) RGB画像を用いた光学的特徴抽出のための照明最適化, 照明学会第52回全国大会, 2019.9.12
  • 中江健, 畑 純一, Henrik Skibbe, Alexander Woodward, Carlos Gutierrez, 塚田 啓道, Rui Gong, 岡野 栄之, 石井 信、拡散MRIに基づくコモンマーモセット死後脳の神経結合の統計解析, 第42回分子生物学会年会, 2019.12.3

講演

  • 浦久保秀俊 (2020)「シナプス可塑性のシグナル伝達からEMコネクトミクスへ:拡大するコンピュテーションの役割」自然科学研究機構・生理学研究所・部門公開セミナー, 2020.1.10