{"id":156,"date":"2023-06-01T16:58:35","date_gmt":"2023-06-01T07:58:35","guid":{"rendered":"http:\/\/dyn.web.nitech.ac.jp\/?page_id=156"},"modified":"2026-04-09T23:38:31","modified_gmt":"2026-04-09T14:38:31","slug":"publications","status":"publish","type":"page","link":"https:\/\/dyn.web.nitech.ac.jp\/en\/publications","title":{"rendered":"Publications \/ \u7814\u7a76\u6210\u679c"},"content":{"rendered":"\n

[Journal papers \/ \u30b8\u30e3\u30fc\u30ca\u30eb\u8ad6\u6587<\/a>]
[Conference proceedings \/ \u4f1a\u8b70\u8ad6\u6587<\/a>]
[Books and tutorials \/ \u66f8\u7c4d\u30fb\u89e3\u8aac<\/a>]
[International conferences \/ \u56fd\u969b\u4f1a\u8b70\u767a\u8868<\/a>]
[National conferences and meeting \/ \u56fd\u5185\u4f1a\u8b70\u30fb\u7814\u7a76\u4f1a\u767a\u8868<\/a>]
[Patent \/ \u7279\u8a31<\/a>]
[Media \/ \u30e1\u30c7\u30a3\u30a2<\/a>]
[Others \/ \u305d\u306e\u4ed6<\/a>]<\/p>\n\n\n\n

\n\n\n\n

\u22c4Journal papers (referred)<\/h2>\n\n\n\n
    \n
  1. H. Tamura, K. Fujiwara, K. Aihara, and G. Tanaka
    Distributional reservoir state analysis for real-time anomaly detection in multivariate time series data<\/a>
    npj Artificial Intelligence<\/strong>, vol. 2, article number 41 (2026).<\/li>\n\n\n\n
  2. G. Auti, H. Daiguji, and G. Tanaka
    Hebbian Physics Networks: A self-organizing computational architecture based on local physical laws<\/a>
    Physical Review Research<\/strong>, vol. 8, 013309 (2026).<\/li>\n\n\n\n
  3. Y. Ito, T. Niiyama, T. Asai, G. Tanaka, A. Uchida, and S. Sunada
    Expanding detection bandwidth via a photonic reservoir for ultrafast optical sensing<\/a>
    Optics Express<\/strong>, vol. 34, no. 2, pp. 3276-3287 (2026).  <\/li>\n\n\n\n
  4. S. Zheng, Z. Li, K. Fujiwara, and G. Tanaka,
    Diffusion Model for Relational Inference in Interacting Systems<\/a>,
    IEEE Transactions on Network Science and Engineering<\/strong>, vol. 13, pp. 1990-2003 (2026).<\/li>\n\n\n\n
  5. H. Zhang, Y. Han, G. Tanaka, and B. Wang,
    Temporal correlation-based neural relational inference for binary dynamics<\/a>,
    Chaos, Soliton and Fractals<\/strong>, vol. 196, 116350 (2025).<\/li>\n\n\n\n
  6. H. Shinagawa and G. Tanaka,
    Color Image Recognition with Color Opponency-Based Filters and Two-Layer Spiking Neural Networks<\/a>,
    NOLTA Journal<\/strong>, vol. 16, no. 2, pp. 290-307 (2025).<\/li>\n\n\n\n
  7. H. Inoue, H. Tamura, A. Kitoh, X. Chen, Z. Byambadorj, T. Yajima, Y. Hotta, T. Iizuka, G. Tanaka, I. H. Inoue,
    Taming Prolonged Ionic Drift\u2013Diffusion Dynamics for Brain-Inspired Computation<\/a>,
    Advanced Materials<\/strong>, vol. 37, issue 3, 2407326 (2025).<\/li>\n\n\n\n
  8. J. Mao, Y. Han, G. Tanaka, and B. Wang,
    Backbone-based Dynamic Spatio-Temporal Graph Neural Network for Epidemic Forecasting<\/a>,
    Knowledge-Based Systems<\/strong>, vol. 296, 111952 (2024).<\/li>\n\n\n\n
  9. J. Kato, G. Tanaka, R. Nakane, A. Hirose,
    Reconstructive Reservoir Computing for Anomaly Detection in Time-Series Signals<\/a>,
    NOLTA Journal<\/strong>, vol. 15, pp.183-204 (2024).<\/li>\n\n\n\n
  10. R. Nakane, A. Hirose, and G. Tanaka,
    Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditions<\/a>,
    Physical Review Applied<\/strong>, vol. 19, 034047 (2023).<\/li>\n\n\n\n
  11. Z. Li, Y. Liu, and G. Tanaka,
    Multi-Reservoir Echo State Networks with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction<\/a>,
    Applied Soft Computing<\/strong>, vol. 135, 110021 (2023).<\/li>\n\n\n\n
  12. J. Chen, R. Nakane, G. Tanaka, and A. Hirose,
    Film-penetrating transducers applicable to on-chip reservoir computing with spin waves<\/a>,
    Journal of Applied Physics<\/strong>, vol. 132, 123902 (2022).<\/li>\n\n\n\n
  13. X. Hong, Y. Han, G. Tanaka, and B. Wang,
    Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses<\/a>,
    Knowledge-Based Systems<\/strong><\/b>, vol. 252, 109413 (2022).<\/li>\n\n\n\n
  14. G. Tanaka, T. Matsumori, H. Yoshida, and K. Aihara,
    Reservoir computing with diverse timescales for prediction of multiscale dynamics<\/a>,
    Physical Review Research<\/b>, vol. 4, L032014 (2022).<\/li>\n\n\n\n
  15. Z. Tong, R. Nakane, A. Hirose, and G. Tanaka,
    A Simple Memristive Circuit for Pattern Classification Based on Reservoir Computing<\/a>,
    International Journal of Bifurcation and Chaos<\/b>, vol. 32, No. 9, 2260141 (2022).<\/li>\n\n\n\n
  16. G. Tanaka and R. Nakane,
    Simulation platform for pattern recognition based on reservoir computing with memristor networks<\/a>,
    Scientific Reports<\/b>, vol. 12, 9868 (2022).<\/li>\n\n\n\n
  17. D. V. Christensen, …, G. Tanaka (42th) et al.,
    2022 Roadmap on Neuromorphic Computing and Engineering<\/a>,
    Neuromorphic Computing and Engineering<\/b>, vol. 2, 022501 (2022).<\/li>\n\n\n\n
  18. T. Akiyama and G. Tanaka,
    Computational efficiency of multi-step learning echo state networks for nonlinear time series prediction<\/a>,
    IEEE Access<\/b>, vol. 10, pp. 28535-28544 (2022).<\/li>\n\n\n\n
  19. Z. Li and G. Tanaka,
    Multi-Reservoir Echo State Networks with Sequence Resampling for Nonlinear Time-Series Prediction<\/a>,
    Neurocomputing<\/b>, vol. 467, pp. 115-129 (2022).<\/li>\n\n\n\n
  20. R. Nakane, A. Hirose, and G. Tanaka,
    Spin waves propagating through a stripe magnetic domain structure and their applications to reservoir computing<\/a>,
    Physical Review Research<\/b>, vol. 3, 033243 (2021).<\/li>\n\n\n\n
  21. H. Tamura and G. Tanaka,
    Transfer-RLS method and transfer-FORCE learning for simple and fast training of reservoir computing models<\/a>,
    Neural Networks<\/b>, vol.143, pp.550-563 (2021).<\/li>\n\n\n\n
  22. T. Ichimura, R. Nakane, G. Tanaka, and A. Hirose,
    A numerical exploration of signal detector arrangement in a spin-wave reservoir computing chip<\/a>,
    IEEE Access<\/b>, vol.9, pp.72637-72646 (2021).<\/li>\n\n\n\n
  23. B. Wang, M. Gou, Y.K. Guo, G. Tanaka, and Y. Han,
    Network structure-based interventions on spatial spread of epidemics in metapopulation networks<\/a>,
    Physical Review E<\/b>, vol. 102, 062306 (2020).<\/li>\n\n\n\n
  24. D. Ito, R. Shirasawa, Y. Iino, S. Tomiya, and G. Tanaka,
    Estimation and prediction of ellipsoidal molecular shapes in organic crystals based on ellipsoid packing<\/a>,
    PLOS ONE<\/b>, vol. 15, no.9, e0239933 (2020).<\/li>\n\n\n\n
  25. C. T. Urabe, G. Tanaka, T. Oshima, A. Maruyama, T. Misaki, N. Okabe, and K. Aihara,
    Comparing catch-up vaccination programs based on analysis of 2012-13 rubella outbreak in Kawasaki City, Japan<\/a>,
    PLOS ONE<\/b>, vol. 15, no. 8, e0237312 (2020).<\/li>\n\n\n\n
  26. G. Tanaka, R. Nakane, T. Takeuchi, T. Yamane, D. Nakano, Y. Katayama, and A. Hirose,
    Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory<\/a>,
    IEEE Transactions on Neural Networks and Learning Systems<\/b>, vol. 31, issue 1, pp. 24-38 (2020).<\/li>\n\n\n\n
  27. A. Matsuki and G. Tanaka,
    Intervention threshold for epidemic control in susceptible-infected-recovered metapopulation models<\/a>,
    Physical Review E<\/b>, vol. 100, 022302 (2019).<\/li>\n\n\n\n
  28. G. Tanaka, T. Yamane, J. B. Heroux, R. Nakane, N. Kanazawa, S. Takeda, H. Numata, D. Nakano, and A. Hirose,
    Recent Advances in Physical Reservoir Computing: A Review<\/a>,
    Neural Networks<\/b>, vol. 115, pp. 100-123 (2019).<\/li>\n\n\n\n
  29. Z. Tong and G. Tanaka,
    Hybrid pooling for enhancement of generalization ability in deep convolutional neural networks<\/a>,
    Neurocomputing<\/b>, vol. 333. pp. 76-85 (2019).<\/li>\n\n\n\n
  30. K. Morino, G. Tanaka, K. Aihara,
    Bifurcation mechanism for emergence of spontaneous oscillations in coupled heterogeneous excitable units<\/a>,
    Physical Review E<\/b>, vol. 98, 052210 (2018).<\/li>\n\n\n\n
  31. G. Tanaka, E. Dominguez-Huttinger, P. Christodoulides, K. Aihara, and R. J Tanaka,
    Bifurcation analysis of a mathematical model of atopic dermatitis to determine patient-specific effects of treatments on dynamic phenotypes<\/a>,
    Journal of Theoretical Biology<\/b>, vol. 448, pp. 66-79 (2018).<\/li>\n\n\n\n
  32. R. Nakane, G. Tanaka, and A. Hirose,
    Reservoir Computing With Spin Waves Excited in a Garnet Film<\/a>,
    IEEE Access<\/b>, vol. 6, pp. 4462-4469 (2018).<\/li>\n\n\n\n
  33. T. Yuan and G. Tanaka,
    Robustness of coupled oscillator networks with heterogeneous natural frequencies<\/a>,
    Chaos<\/b>, vol. 27, 123105 (2017).<\/li>\n\n\n\n
  34. B. Wang, Y. Han, and G. Tanaka,
    Interplay between epidemic spread and information propagation on metapopulation networks<\/a>,
    Journal of Theoretical Biology<\/b>, vol. 420, pp. 18-25 (2017).<\/li>\n\n\n\n
  35. M. Nagata, Y. Hirata, N. Fujiwara, G. Tanaka, H. Suzuki, and K. Aihara,
    Smoothing effect for spatially distributed renewable resources and its impact on power grid robustness<\/a>,
    Chaos<\/b>, vol. 27, 033104 (2017).<\/li>\n\n\n\n
  36. T. Yuan, K. Aihara, and G. Tanaka,
    Robustness and Fragility in Coupled Oscillator Networks under Targeted Attacks<\/a>,
    Physicial Review E<\/b>, vol. 95, 012315 (2017).<\/li>\n\n\n\n
  37. C. T. Urabe, G. Tanaka, K. Aihara, and M. Mimura,
    Parameter Scaling for Epidemic Size in a Spatial Epidemic Model with Mobile Individuals<\/a>,
    PLOS ONE<\/b>, vol. 11, no. 12, e0168127 (2016).<\/li>\n\n\n\n
  38. K. Inoue, H. Shinohara, M. Behar, N. Yumoto, G. Tanaka, A. Hoffmann, K. Aihara, and M. Okada-Hatakeyama,
    Oscillation Dynamics Underlie Functional Switching of NF-kB for B Cell Activation<\/a>,
    npj Systems Biology and Applications<\/b>, vol. 2, article no. 16024 (2016).<\/li>\n\n\n\n
  39. Y. Katayama, T. Yamane, D. Nakano, R. Nakane, G. Tanaka,
    Wave-Based Neuromorphic Computing Framework for Brain-Like Energy Efficiency and Integration<\/a>,
    IEEE Transcations on Nanotechnology<\/b>, vol. 15, no. 5, pp. 762-769 (2016).<\/li>\n\n\n\n
  40. B.-G. Zhang, G. Tanaka, K. Aihara, M. Honda, S. Kaneko, and L. Chen,
    Dynamics of an HBV model with drug resistance under intermittent antiviral therapy<\/a>,
    International Journal of Bifurcation and Chaos<\/b>, vol. 25, no. 7, 1540011 (2015).<\/li>\n\n\n\n
  41. Y. Hirata, K. Morino, K. Akakura, C. S. Higano, N. Bruchovsky, T. Gambol, S. Hall, G. Tanaka, K. Aihara,
    Intermittent androgen suppression: estimating parameters for individual patients based on initial PSA data in response toandrogen deprivation therapy<\/a>,
    PLOS ONE<\/b>, vol. 10, no. 6, e0130372 (2015).<\/li>\n\n\n\n
  42. T. Sasai, K. Morino, G. Tanaka, J. A. Almendral, and K. Aihara,
    Robustness of oscillatory behavior in correlated networks<\/a>,
    PLOS ONE<\/b>, vol. 10, no. 4, e0123722 (2015).<\/li>\n\n\n\n
  43. D. Takeuchi, G. Tanaka, R. Fujie, and H. Suzuki,
    Public Opinion Formation with the Spiral of Silence on Complex Social Networks<\/a>,
    Nonlinear Theory and its Applications, IEICE<\/b>, vol. 6, no. 1, pp. 15–25 (2015).<\/li>\n\n\n\n
  44. B. Wang, G. Tanaka, H. Suzuki, and K. Aihara,
    Epidemic spread on interconnected metapopulation networks<\/a>,
    Physical Review E<\/b>, vol. 90, 032806 (2014).<\/li>\n\n\n\n
  45. G. Tanaka, C. Urabe, K. Aihara,
    Random and Targeted Interventions for Epidemic Control in Metapopulation Models<\/a>,
    Scientific Reports<\/b>, vol. 4, 5522 (2014).<\/li>\n\n\n\n
  46. M. Nagata, N. Fujiwara, G. Tanaka, H. Suzuki, E. Kohda and K. Aihara,
    Node-wise Robustness against Fluctuations of Power Consumption in Power Grids<\/a>,
    European Physical Journal Special Topics<\/b>, DOI:10.1140\/epjst\/e2014-02215-x (2014).<\/li>\n\n\n\n
  47. G. Tanaka, K. Morino, H. Daido, and K. Aihara,
    Dynamical Robustness of Coupled Heterogeneous Oscillators<\/a>,
    Physical Review E<\/b>, vol. 89, issue 5, 052906 (2014).<\/li>\n\n\n\n
  48. I. Nishikawa, K. Iwayama, G. Tanaka, T. Horita, and K. Aihara,
    Finite-size scaling in globally coupled phase oscillators with a general coupling scheme<\/a>,
    Progress of Theoretical and Experimental Physics<\/b>, vol. 2014, issue 2, 023A07 (2014).<\/li>\n\n\n\n
  49. K. Morino, G. Tanaka, and K. Aihara,
    Efficient recovery of dynamic behavior in coupled oscillator networks<\/a>,
    Physical Review E<\/b>, vol. 88, 032909 (2013).<\/li>\n\n\n\n
  50. I. Nishikawa, G. Tanaka, and K. Aihara,
    Nonstandard scaling law of fluctuations in finite-size systems of globally coupled oscillators<\/a>,
    Physical Review E<\/b>, vol. 88, no. 2, 024102 (2013).<\/li>\n\n\n\n
  51. G. Tanaka and K. Aihara,
    Effects of Seasonal Variation Patterns on Recurrent Outbreaks in Epidemic Models<\/a>,
    Journal of Theoretical Biology<\/b>, vol. 317, pp. 87-95 (2013).<\/li>\n\n\n\n
  52. I. Nishikawa, G. Tanaka, T. Horita, and K. Aihara,
    Long-term fluctuations in globally coupled phase oscillators with general coupling: finite size effects<\/a>,
    Chaos<\/b>, vol. 22, issue 1, 013133 (2012).<\/li>\n\n\n\n
  53. G. Tanaka, K. Morino, and K. Aihara,
    Dynamical robustness in complex networks: the crucial role of low-degree nodes<\/a>,
    Scientific Reports<\/b>, vol. 2, 232 (2012).<\/li>\n\n\n\n
  54. Y. Hirata, G. Tanaka, N. Bruchovsky, and K. Aihara,
    Mathematically modelling and controlling prostate cancer under intermittent hormone therapy<\/a>,
    Asian Journal of Andrology<\/b>, vol. 14, issue 2, pp. 270-277 (2012).<\/li>\n\n\n\n
  55. K. Morino, G. Tanaka, and K. Aihara,
    Robustness of Multilayer Oscillator Networks<\/a>,
    Physical Review E<\/b>, vol. 83, 056208 (2011).<\/li>\n\n\n\n
  56. G. Tanaka, Y. Hirata, N. Bruchovsky, S. Goldenberg, and K. Aihara,
    Mathematical Modelling of Prostate Cancer Growth and its Application to Hormone Therapy<\/a>,
    Philosophical Transactions of the Royal Society A<\/b>, vol. 368, pp. 5029-5044 (2010).<\/li>\n\n\n\n
  57. G. Tanaka, Y. Okada, and K. Aihara,
    Phase Transitions in Mixed Populations Composed of Two Types of Self-Oscillatory Elements with Different Periods<\/a>,
    Physical Review E<\/b>, vol. 82, no. 3, 035202(R) (2010).<\/li>\n\n\n\n
  58. G. Tanaka and K. Aihara,
    Complex-Valued Multistate Associative Memory with Nonlinear Multilevel Functions for Gray-Level Image Reconstruction<\/a>,
    IEEE Transactions on Neural Networks<\/b>, vol. 20, no. 9, pp. 1463-1473 (2009).<\/li>\n\n\n\n
  59. G. Tanaka, S. Tsuji, and K. Aihara,
    Grazing-Induced Crises in Hybrid Dynamical Systems<\/a>,
    Physics Letters A<\/b>, vol. 373, no. 35, pp. 3134-3139 (2009).<\/li>\n\n\n\n
  60. G. Tanaka, K. Tsumoto, S. Tsuji, and K. Aihara,
    Bifurcation Analysis on a Hybrid Systems Model of Intermittent Hormonal Therapy for Prostate Cancer<\/a>,
    Physica D<\/b>, vol. 237, pp. 2616-2627 (2008).<\/li>\n\n\n\n
  61. A. Ideta, G. Tanaka, T. Takeuchi, and K. Aihara,
    A Mathematical Model of Intermittent Androgen Suppression for Prostate Cancer<\/a>,
    Journal of Nonlinear Science<\/b>, vol. 18, no. 6, pp. 593-614 (2008).<\/li>\n\n\n\n
  62. G. Tanaka and K. Aihara,
    Collective Skipping: Aperiodic Phase Locking in Ensembles of Bursting Oscillators<\/a>,
    Europhysics Letters<\/b>, vol. 78, 10003 (2007).<\/li>\n\n\n\n
  63. B. Ibarz, G. Tanaka, M. A. F. Sanjuan, and K. Aihara,
    Sensitivity versus resonance in two-dimensional spiking-bursting neuron models<\/a>,
    Physical Review E<\/b>, vol. 75, 041902 (2007).<\/li>\n\n\n\n
  64. G. Tanaka, B. Ibarz, M. A. F. Sanjuan, and K. Aihara,
    Synchronization and Propagation of Bursts in Networks of Coupled Map Neurons<\/a>,
    Chaos<\/b>, vol. 16, no. 1, 013113 (2006).<\/li>\n\n\n\n
  65. G. Tanaka and K. Aihara,
    Multistate Associative Memory with Parametrically Coupled Map Networks<\/a>,
    International Journal of Bifurcation and Chaos<\/b>, vol. 15, no. 4, pp. 1395-1410 (2005).<\/li>\n\n\n\n
  66. G. Tanaka, M. A. F. Sanjuan, and K. Aihara,
    Crisis-induced Intermittency in Two Coupled Chaotic Maps: Towards Understanding Chaotic Itinerancy<\/a>,
    Physical Review E<\/b>, vol. 71, no. 1, 016219 (2005).<\/li>\n\n\n\n
  67. G. Tanaka, S. Murashige, and K. Aihara,
    Bifurcation Structures of Period-Adding Phenomena in an Ocean Internal Wave Model<\/a>,
    International Journal of Bifurcation and Chaos<\/b>, vol. 13, no. 11, pp. 3409-3424 (2003).<\/li>\n<\/ol>\n\n\n\n
    <\/div>\n\n\n\n
    \n\n\n\n

    \u22c4Conference proceedings (referred) <\/h2>\n\n\n\n
      \n
    1. Y. Ito, T. Niiyama, T. Asai, G. Tanaka, A. Uchida, and S. Sunada,
      High-Speed Optical Signal Measurement via Optical Reservoir Computing,
      Proc. 2025 Int. Symp. on Nonlinear Theory and Its Applications (NOLTA, Okinawa, Oct. 27-31), Oral, Oct. 30 (2025).<\/li>\n\n\n\n
    2. K. Nogami, H. Tamura, and G. Tanaka,
      Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection<\/a>,
      Proc. 2025 Int. Joint Conf. on Neural Networks<\/strong> (IJCNN, Rome, June 30-July 5), pp. 1-8, Oral, Jul. 1 (2025),
      DOI: <\/strong>10.1109\/IJCNN64981.2025.11228565.<\/li>\n\n\n\n
    3. Z. Li, R. S. Fong, K. Fujiwara, K. Aihara, and G. Tanaka,
      Structuring Multiple Simple Cycle Reservoirs With Particle Swarm Optimization<\/a>,
      Proc. 2025 Int. Joint Conf. on Neural Networks<\/strong> (IJCNN, Rome, June 30-July 5), Poster, Jul. 4 (2025),
      DOI: 10.1109\/IJCNN64981.2025.11228517.<\/li>\n\n\n\n
    4. H. Tamura, K. Fujiwara, K. Aihara, and G. Tanaka,
      Online classification of multivariate time series data through Gaussian Reservoir State Analysis (GRSA)<\/a>,
      Proc. 2025 Int. Joint Conf. on Neural Networks <\/strong>(IJCNN, Rome, June 30-July 5), pp. 1-10, Oral, Jul. 1 (2025),
      DOI: 10.1109\/IJCNN64981.2025.11227942.<\/li>\n\n\n\n
    5. Z. Li, K. Fujiwara, and G. Tanaka,
      Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach<\/a>,
      Proc. 2024 Int. Joint Conf. on Neural Networks<\/strong> (IJCNN, Yokohama, June 30-July 5), pp. 1-9, Oral, Jul. 2 (2024),
      DOI: 10.1109\/IJCNN60899.2024.10650945.<\/li>\n\n\n\n
    6. Z. Li, K. Fujiwara, and G. Tanaka,
      Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification<\/a>,
      Proc. Int. Conf. on Neural Information Processing<\/strong> (ICONIP), CCIS, vol. 1964, pp.523-534, Oral, Nov. 23 (2023).<\/li>\n\n\n\n
    7. Z. Li, K. Fujiwara, and G. Tanaka,
      An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data<\/a>,
      Proc. Int. Conf. on Artificial Neural Networks<\/strong> (ICANN), LNCS, vol. 14257, pp.13-25, Oral (remote), Jul. 27 (2023).<\/li>\n\n\n\n
    8. J. Chen, H. Chen, R. Nakane, G. Tanaka, and A. Hirose,
      Time-Domain Fading Channel Prediction Based on Spin-Wave Reservoir Computing<\/a>,
      Proc. 2023 Int. Joint Conf. on Neural Networks<\/strong> (IJCNN), Poster, June 21 (2023).<\/li>\n\n\n\n
    9. H. Inoue, H. Tamura, A. Kitoh, X. Chen, Z. Byambadorj, T. Yajima, Y. Hotta, T. Iizuka, G. Tanaka and I. H. Inoue,
      Long-Time-Constant Leaky-Integrating Oxygen-Vacancy Drift-Diffusion FET for Human-Interactive Spiking Reservoir Computing<\/a>,
      Proc. IEEE Symp. on VLSI Technology and Circuits<\/strong>, Digest of Technical Papers, Oral, Jun. 13 (2023).<\/li>\n\n\n\n
    10. J. Chen, R. Nakane, G. Tanaka, and A. Hirose,
      Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip<\/a>,
      Proc. 2022 Int. Joint Conf. on Neural Networks<\/b> (IJCNN), pp.1-7 (2022),
      DOI: <\/strong>10.1109\/IJCNN55064.2022.9892365.<\/li>\n\n\n\n
    11. J. Kato, G. Tanaka, R. Nakane, and A. Hirose,
      Proposal of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals<\/a>,
      Proc. 2022 Int. Joint Conf. on Neural Networks<\/b> (IJCNN), pp.1-6 (2022),
      DOI: 10.1109\/IJCNN55064.2022.9892805.<\/li>\n\n\n\n
    12. Z. Li and G. Tanaka,
      A Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction,
      Proc. Int. Conf. on Neural Information Processing<\/b> (ICONIP)<\/strong>, pp. 28-39 (2021).<\/li>\n\n\n\n
    13. H. Tamura and G. Tanaka,
      partial-FORCE: a fast and robust online training method for recurrent neural networks,
      Proc. Int. Joint Conf. on Neural Networks<\/b> <\/strong>(IJCNN), pp. 1-8 (2021).<\/li>\n\n\n\n
    14. H. Tamura and G. Tanaka,
      Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing,
      Proc. Int. Conf. on Artificial Neural Networks<\/b> (ICANN), pp. 459-469 (2020).<\/li>\n\n\n\n
    15. Z. Li and G. Tanaka,
      Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction,
      Proc. 2020 Int. Joint Conf. on Neural Networks <\/b> (Virtual, Jul. 19-24), N-21214 (9 pages) (2020).<\/li>\n\n\n\n
    16. Z. Li and G. Tanaka,
      HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction<\/a>,
      Proc. 2020 Int. Joint Conf. on Neural Networks<\/b> (Virtual, Jul. 19-24), N-21788 (9 pages) (2020).<\/li>\n\n\n\n
    17. T. Ichimura, R. Nakane, G. Tanaka, and A. Hirose,
      Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics<\/a>,
      Proc. 2020 Int. Joint Conf. on Neural Networks<\/b> (Virtual, Jul. 19-24), N-21140 (8 pages) (2020).<\/li>\n\n\n\n
    18. G. Tanaka, R. Nakane, A. Hirose,
      Echo State Networks Composed of Units with Time-Varying Nonlinearity,
      Proc. Int. Conf. on Neural Information Processing<\/b> (Sydney, Dec. 12-15), pp.34-39 (2019).<\/li>\n\n\n\n
    19. A. Matsuki and G. Tanaka,
      Role of high-degree nodes in the metastability of a resting-state network model,
      Proc. Int. Symp. on Nonlinear Theory and its Applications<\/b> (Kuara Lumpur, Dec. 2-6), pp. 58-61 (2019).<\/li>\n\n\n\n
    20. G. Tanaka, R. Nakane, A. Hirose,
      Effect of Variability on Nonlinear Dynamics of Memristive Networks,
      Proc. Int. Symp. on Nonlinear Theory and its Applications<\/b> (Kuara Lumpur, Dec. 2-6), pp. 179-182 (2019).<\/li>\n\n\n\n
    21. T. Akiyama and G. Tanaka,
      Echo State Network with Adversarial Training,
      Proc. the 28th Int. Conf. on Artificial Neural Networks<\/b> (ICANN, Munich, Sep. 17-19, Poster, Sep. 19), pp. 82-88 (2019).<\/li>\n\n\n\n
    22. T. Akiyama and G. Tanaka,
      Analysis on Characteristics of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction<\/a>,
      Proc. Int. Joint Conf. on Neural Networks<\/b> (IJCNN, Budapest, July 14-19, Oral, July 17), N-19193 (2019).<\/li>\n\n\n\n
    23. R. Nakane, G. Tanaka, and A. Hirose,
      Numerical Analysis on Wave Dynamics in a Spin-Wave Reservoir for Machine Learning<\/a>,
      Proc. Int. Joint Conf. Neural Networks<\/b> (IJCNN, Budapest, July 14-19, Oral, July 16), N-20170 (2019).<\/li>\n\n\n\n
    24. D. Ito, R. Shirasawa, S. Hattori, S. Tomiya, G. Tanaka,
      Prediction of molecular packing motifs in organic crystals by neural graph fingerprints<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Siem Reap, Dec. 14-16, Oral, Dec. 15) LNCS 11301, pp. 26-34 (2018).<\/li>\n\n\n\n
    25. A. Hirose, G. Tanaka, S. Takeda, T. Yamane, H. Numata, N. Kanazawa, J. B. Heroux, D. Nakano, R. Nakane,
      Proposal of carrier-wave reservoir computing<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Siem Reap, Dec. 14-16, Oral, Dec. 14) LNCS 11301, pp. 616-624 (2018).<\/li>\n\n\n\n
    26. T. Yamane, H. Numata, J. B. Heroux, N. Kanazawa, S. Takeda, G. Tanaka, R. Nakane, A. Hirose, and D. Nakano,
      Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Siem Reap, Dec. 14-16, Oral, Dec. 14) LNCS 11301, pp. 635-643 (2018).<\/li>\n\n\n\n
    27. Z. Tong and G. Tanaka,
      Reservoir Computing with Untrained Convolutional Neural Networks for Image Recognition<\/a>,
      Proc. International Conference on Pattern Recognition<\/b> (ICPR, Beijing, Aug. 20-24, Poster, Aug. 22), pp. 1289-1294 (2018).<\/li>\n\n\n\n
    28. G. Tanaka, R. Nakane, T. Yamane, S. Takeda, D. Nakano, S. Nakagawa, A. Hirose,
      Nonlinear Dynamics of Memristive Networks and its Application to Reservoir Computing,
      Proc. Int. Symp. Nonlinear Theory and its Applications<\/b> (NOLTA, Cancun, Mexico, Dec. 4-7, Oral, Dec. 5), pp. 182-185 (2017).<\/li>\n\n\n\n
    29. A. Hirose, S. Takeda, T. Yamane, D. Nakano, S. Nakagawa, R. Nakane, and G. Tanaka,
      Complex-Valued Neural Networks to Realize Energy-Efficient Neural Networks Including Reservoir Computing,
      Proc. Int. Symp. Nonlinear Theory and its Applications<\/b> (NOLTA, Cancun, Mexico, Dec. 4-7, Oral, Dec. 5), pp. 186-188 (2017).<\/li>\n\n\n\n
    30. G. Tanaka, R. Nakane, T. Yamane, S. Takeda, D. Nakano, S. Nakagawa, A. Hirose,
      Waveform Classification by Memristive Reservoir Computing<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Guangzhou, Nov. 14-18, Oral, Nov. 15), pp. 457-465 (2017).<\/li>\n\n\n\n
    31. A. Hirose, S. Takeda, T. Yamane, D. Nakano, S. Nakagawa, R. Nakane, and G. Tanaka,
      Complex-valued neural networks for wave-based realization of reservoir computing<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Guangzhou, Nov. 14-18, Oral, Nov. 15), pp. 449-456 (2017).<\/li>\n\n\n\n
    32. T. Yamane, S. Takeda, D. Nakano, G. Tanaka, R. Nakane, A. Hirose, S. Nakagawa,
      Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Guangzhou, Nov. 14-18, Oral, Nov. 15), pp. 639-647 (2017).<\/li>\n\n\n\n
    33. T. Yuan, K. Aihara, G. Tanaka,
      Theory for Dynamical Robustness of Complex Networks against Targeted Attacks,
      Proc. Int. Symp. Nonlinear Theory and Its Applications<\/b> (NOLTA, Yugawara, Nov. 27-30, Oral, Nov. 30), pp. 602-605 (2016).<\/li>\n\n\n\n
    34. G. Tanaka, R. Nakane, T. Yamane, D. Nakano, S. Takeda, S. Nakagawa, and A. Hirose,
      Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Kyoto, Oct. 16-21, Oral, Oct. 17), Springer International Publishing, pp. 187-194 (2016).<\/li>\n\n\n\n
    35. R. Mori, G. Tanaka, R. Nakane, A. Hirose, and K. Aihara,
      Computational Performance of Echo State Networks with Dynamic Synapses<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Kyoto, Oct. 16-21, Oral, Oct. 17), Springer International Publishing, pp. 264-271 (2016).<\/li>\n\n\n\n
    36. S. Takeda, D. Nakano, T. Yamane, G. Tanaka, R. Nakane, A. Hirose, and S. Nakagawa,
      Photonic Reservoir Computing Based on Laser Dynamics with External Feedback<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Kyoto, Oct. 16-21, Oral, Oct. 17), Springer International Publishing, pp. 222-230 (2016).<\/li>\n\n\n\n
    37. T. Yamane, S. Takeda, D. Nakano, G. Tanaka, R. Nakane, S. Nakagawa, and A. Hirose,
      Dynamics of reservoir computing at the edge of stability<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Kyoto, Oct. 16-21, Oral, Oct. 17), Springer International Publishing, pp. 205-212 (2016).<\/li>\n\n\n\n
    38. Z. Tong, K. Aihara, and G. Tanaka,
      A Hybrid Pooling Method for Convolutional Neural Networks<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Kyoto, Oct. 16-21, Oral, Oct. 18), Springer International Publishing, pp. 454-461 (2016).<\/li>\n\n\n\n
    39. G. Tanaka,
      An Application of Dynamical Robustness Analysis to Power Grids,
      Proc. Int. Symp. Nonlinear Theory and its Applications<\/b> (NOLTA, HongKong, Dec. 1-4, Oral, Dec. 2) pp. 30-33 (2015).<\/li>\n\n\n\n
    40. M. Nagata, Y. Hirata, N. Fujiwara, G. Tanaka, H. Suzuki, and K. Aihara,
      Detecting Early Warning Signals for Blackouts in Power Grids from theViewpoint of Nonlinear Dynamics,
      Proc. Int. Symp. Nonlinear Theory and its Applications<\/b> (NOLTA, HongKong, Dec. 1-4, Oral, Dec. 2), pp. 22-25 (2015)<\/li>\n\n\n\n
    41. T. Yamane, Y. Katayama, R. Nakane, G. Tanaka, and D. Nakano,
      Wave-based reservoir computing by synchronization of coupled oscillators<\/a>,
      Proc. Int. Conf. Neural Information Processing<\/b> (ICONIP, Istanbul, Nov. 9-12, Oral, Nov. 11), In S. Arik et al. (Eds.): ICONIP 2015, Part III, LNCS 9491, pp. 198-205 (2015).<\/li>\n\n\n\n
    42. Y. Katayama, T. Yamane, D. Nakano, R. Nakane, and G. Tanaka,
      Wave-based neuromorphic computing framework for brain-like energy efficiency and integration<\/a>,
      Proc. 2025 IEEE 15th Int. Conf. on Nanotechnology<\/b> (IEEE NANO, Rome, Jul. 27-30, Oral, Jul. 27) (2015).<\/li>\n\n\n\n
    43. Y. Katayama, T. Yamane, D. Nakano, R. Nakane, and G. Tanaka,
      Wave-Based Device Scaling Concept for Brain-Like Energy Efficiency and Integration<\/a>,
      Proc. IEEE\/ACM Int. Symp. on Nanoscale Architectures<\/b><\/strong> (NANOARCH, Boston, Jul. 8-10, Oral, Jul. 8), pp. 23-24 (2015).<\/li>\n\n\n\n
    44. Z. Tong and G. Tanaka,
      A Pruning Method Based on Weight Variation Information for Feedforward Neural Networks<\/a>,
      Proc. The 4th IFAC Conference on Analysis and Control of Chaotic Systems<\/b><\/strong> (Tokyo, Aug. 26-28, Oral, Aug. 28), pp. 221-226 (2015).<\/li>\n\n\n\n
    45. G. Tanaka, T. Yamane, D. Nakano, R. Nakane, and Y. Katayama,
      Regularity and Randomness in Modular Network Structures for Neural Associative Memories<\/a>,
      Proc. Int. Joint Conf. on Neural Networks<\/b> (IJCNN, Jul. 12-17, Oral, Jul. 14) pp. 1-7 (2015).<\/li>\n\n\n\n
    46. G. Tanaka, T. Yamane, D. Nakano, R. Nakane, and Y. Katayama,
      Hopfield-Type Associative Memory with Sparse Modular Networks<\/a>,
      Proc. The 21st Int. Conf. Neural Information Processing<\/b><\/strong> (ICONIP, Kuching, Nov. 3-6, Oral, Nov. 5), In L.C. Kiong et al. (Eds.) ICONIP 2014, Part I, LNCS, vol. 8834, pp. 255-262 (2014).<\/li>\n\n\n\n
    47. M. Nagata, N. Fujiwara, I. Nishikawa, G. Tanaka, H. Suzuki, and K. Aihara,
      Phase-model analysis of supply stability in power grid of Eastern Japan<\/a>,
      Proc. Int. Symp. Nonlinear Theory and its Applications<\/b> (NOLTA, Santa Fe, Sep. 8-11, Oral, Sep. 9), pp. 69-72 (2013).<\/li>\n\n\n\n
    48. G. Chesi, G. Tanaka, Y. Hirata, and K. Aihara,
      On the Analysis of the Bifurcation Sets of Equilibrium Points in Parameter Space<\/a>,
      Proc. 2013 European Control Conference<\/b> (Zurich, Jul. 17-19, Oral, Jul. 17), pp. 670-675 (2013).<\/li>\n\n\n\n
    49. G. Tanaka, K. Morino, and K. Aihara,
      Dynamical robustness in synaptically coupled neuronal networks<\/a>,
      Proc. Int. Symp. Nonlinear Theory and its Applications<\/b> (NOLTA, Mallorca, Oct. 22-26, Oral, Oct. 25), pp. 594-597 (2012).<\/li>\n\n\n\n
    50. B.-G. Zhang, G. Tanaka, L. Chen, and K. Aihara,
      Dynamical modeling of chronic myeloid leukemia progression and the development of mutations<\/a>,
      Proc. IEEE Int. Conf. on Bioinformatics and Biomedicine<\/b> (Philadelphia, Oct. 4-7, Oral, Oct. 4), pp. 130-135 (2012).<\/li>\n\n\n\n
    51. G. Tanaka, K. Morino, and K. Aihara,
      Phase Transitions in Complex Networks of Active and Inactive Oscillators<\/a>,
      Proc. the 5th Int. Sci. Conf. Physics and Control<\/b> (Leon, Sep. 5-8, Oral, Sep. 7), IPACS Electronic library (2011).<\/li>\n\n\n\n
    52. G. Tanaka and K. Aihara,
      Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks<\/a>,
      Proc. the 16th Int. Conf. Neural Information Processing<\/b><\/strong> (ICONIP, Bangkok, Dec. 1-5, Dec. 4), In C.S. Leung, et al. (Eds.): ICONIP 2009, Part I, LNCS 5863, pp. 484-493, Springer, Heidelberg (2009).<\/li>\n\n\n\n
    53. G. Tanaka and K. Aihara,
      A Heuristic Approach to Graph Coloring Problems with Complex-Valued Neural Networks,
      Proc. Int. Symp. Nonlinear Theory and its Applications<\/b> (NOLTA, Budapest, Sep. 7-10, Oral, Sep. 9), pp. 468-471 (2008).<\/li>\n\n\n\n
    54. G. Tanaka and K. Aihara,
      Complex-valued Multistate Associative Memory with Nonlinear Multilevel Functions for Gray-level Image Reconstruction,
      Proc. IEEE World Congress on Computational Intelligence<\/b> (WCCI, HongKong, Jun. 1-6, Oral, Jun. 2), NN0854, CD-ROM (2008).<\/li>\n\n\n\n
    55. K. Aihara, G. Tanaka, T. Suzuki, and Y. Hirata,
      A Hybrid Systems Approach to Hormonal Therapy of Prostate Cancer and its Nonlinear Dynamics,
      Proc. Int. Conf. <\/b><\/strong>Noise and Fluctuations<\/b> (Tokyo, Sep. 9-14), AIP Conf. Proc., vol. 922, pp. 479-482, Oral (2008).<\/li>\n\n\n\n
    56. G. Tanaka and K. Aihara, Local and Global Bifurcations in a Mathematical Model of Intermittetnt Androgen Suppression Therapy for Prostate Cancer,
      Proc. the 19th Int. Conf. of Noise and Fluctuations<\/b> (ICNF, Tokyo, Sep. 9-14, Oral), pp. 479-482 (2007).<\/li>\n\n\n\n
    57. G. Tanaka and K. Aihara,
      Multistate associative memory with parametrically coupled circle maps,
      Proc. Asia-Pacific Conf. on Circuits and Systems<\/b> (APCCAS, Tainan, Dec. 6-9, Oral), pp. 1017-1020 (2004).<\/li>\n\n\n\n
    58. G. Tanaka and K. Aihara,
      An Explosion of Chaotic Attractors in Two Coupled Logistic Maps,
      Proc. the 11th Int. Workshop on Nonlinear Dynamics of Electronic Systems<\/b> (NDES, Scuol, May 18-21, Oral), pp. 275-278 (2003).<\/li>\n\n\n\n
    59. G. Tanaka and K. Aihara,
      Combinatorial Optimization with Networks of Parametrically Coupled Sine Circle Maps,
      Proc. Int. Symp. on Nonlinear Theory and its Applications<\/b> (NOLTA, Xian, Oct. 7-11), pp. 271-274 (2002).<\/li>\n\n\n\n
    60. G. Tanaka, S. Murashige, and K. Aihara,
      Bifurcation Analysis of an Ocean Internal Wave Model,
      Proc. Int. <\/b><\/strong>Symp. on Nonlinear Theory and its Applications<\/b> (NOLTA, Miyagi, Oct. 28-Nov. 1), pp. 7-10 (2001).<\/li>\n<\/ol>\n\n\n\n
      <\/div>\n\n\n\n
      \n\n\n\n

      \u22c4Books and tutorials<\/h2>\n\n\n\n
        \n
      1. G. Tanaka,
        Reservoir Computing Models for Slow Electronics<\/a>
        In: Inoue, I.H. (eds) Slow Electronics with Reservoir Computing. Springer, Singapore, Chapter 2, pp. 21-41 (2026).<\/li>\n\n\n\n
      2. \u7530\u4e2d \u525b\u5e73,
        \u30ea\u30b6\u30d0\u30fc\u8a08\u7b97\u3092\u7528\u3044\u305f\u5065\u5eb7\u30fb\u533b\u7642\u30c7\u30fc\u30bf\u306e\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58<\/a>
        \u533b\u5b66\u306e\u3042\u3086\u307f\uff0cvol. 294, no. 2, pp. 152-156 (2025).<\/li>\n\n\n\n
      3. \u7530\u4e2d \u525b\u5e73\uff0c
        \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u767a\u5c55\u3068\u30a8\u30c3\u30b8AI \u3078\u306e\u6d3b\u7528<\/a>
        \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u8a8c<\/strong>\uff0cvol. 40, no. 3, pp. 353-360 (2025).<\/li>\n\n\n\n
      4. \u7530\u4e2d \u525b\u5e73,
        \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0<\/a>
        \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8a8c<\/strong>\uff0c\u77e5\u8b58\u306e\u68ee\uff0cvol. 106, no. 6, p. 521 (2023).<\/li>\n\n\n\n
      5. G. Tanaka, C. Gallicchio, A. Micheli, J.-P. Ortega, and A. Hirose
        Guest Editorial: Special Issue on New Frontiers in Extremely Efficient Reservoir Computing<\/a>
        IEEE Transactions on Neural Networks and Learning Systems<\/strong>, vol. 33, issue 6, pp. 2571-2574 (2022).<\/li>\n\n\n\n
      6. \u7530\u4e2d \u525b\u5e73\uff0c\u4e2d\u6839 \u4e86\u660c\uff0c\u5ee3\u702c \u660e
        \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\uff1a\u6642\u7cfb\u5217\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u306e\u305f\u3081\u306e\u9ad8\u901f\u6a5f\u68b0\u5b66\u7fd2\u306e\u7406\u8ad6\u3068\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2<\/a>
        \u68ee\u5317\u51fa\u7248<\/strong><\/b> ISBN: 978-4-627-85531-1 (2021).<\/li>\n\n\n\n
      7. \u7530\u4e2d \u525b\u5e73
        \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0<\/a>
        \u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u8a8c<\/strong><\/b>\uff08\u77e5\u3063\u3066\u304a\u304d\u305f\u3044\u30ad\u30fc\u30ef\u30fc\u30c9\uff09\uff0cvol. 74, no. 3, pp. 532-534 (2020).<\/li>\n\n\n\n
      8. \u7530\u4e2d \u525b\u5e73\uff0c\u5408\u539f \u4e00\u5e78
        \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u8133\u79d1\u5b66
        \u6570\u7406\u79d1\u5b66<\/strong><\/b>\uff0c\u30b5\u30a4\u30a8\u30f3\u30b9\u793e 2\u6708\u53f7 (2020).<\/li>\n\n\n\n
      9. \u4e2d\u6839 \u4e86\u660c\uff0c\u7530\u4e2d \u525b\u5e73\uff0c\u5ee3\u702c \u660e
        \u30b9\u30d4\u30f3\u6ce2\u3092\u7528\u3044\u305f\u6a5f\u68b0\u5b66\u7fd2\u30c1\u30c3\u30d7\u30c7\u30d0\u30a4\u30b9
        \u65e5\u672c\u78c1\u6c17\u5b66\u4f1a\u8a8c<\/strong><\/b>\uff0c12\u6708\u53f7 (2019).<\/li>\n\n\n\n
      10. \u7530\u4e2d \u525b\u5e73
        \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u6982\u5ff5\u3068\u6700\u8fd1\u306e\u52d5\u5411<\/a> (Open Access \u8a71\u984c\u306e\u8a18\u4e8b),
        \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8a8c<\/strong><\/b> (\u5c0f\u7279\u96c6:\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0), vol. 102, no. 2 (Feb. 2019), pp. 108-113 (2019).<\/li>\n\n\n\n
      11. \u7530\u4e2d \u525b\u5e73
        \u7d30\u80de\u30b7\u30b9\u30c6\u30e0\u306e\u52d5\u614b\u3068\u5206\u5c90\u7406\u8ad6<\/a> (pdf<\/a>),
        \u751f\u7269\u7269\u7406<\/strong><\/b>, vol. 56, no. 6, pp. 340-344 (2016).<\/li>\n\n\n\n
      12. \u7530\u4e2d \u525b\u5e73\uff0c
        \u66f8\u8a55\u300c\u8907\u7d20\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7b2c\uff12\u7248 (\u5ee3\u702c \u660e\u8457)\u300d
        \u6570\u7406\u79d1\u5b66<\/strong><\/b>\uff0cNo. 643, p. 61 (2017).<\/li>\n\n\n\n
      13. G. Tanaka, K. Morino, and K. Aihara,
        Dynamical Robustness of Complex Biological Networks,
        In: (Eds) T. Ohira and T. Uzawa, Mathematical Approaches to Biological Systems: Networks, Oscillations, and Collective Motions<\/b>, Springer<\/strong>, Chapter 2, pp. 29-53 (2015).<\/li>\n\n\n\n
      14. G. Tanaka,
        Book Review on “Complex-Valued Neural Networks: Advances and Applications,”
        IEEE Computational Intelligence Magazine<\/strong><\/b>, vol. 8, no. 2, pp. 77-79 (2013).<\/li>\n\n\n\n
      15. \u7530\u4e2d \u525b\u5e73, \u5e73\u7530 \u7965\u4eba, \u5c71\u7530 \u6cf0\u53f8, \u9ad8\u6a4b \u7d14, \u5408\u539f \u4e00\u5e78,
        \u6570\u7406\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u30c6\u30fc\u30e9\u30fc\u30e1\u30fc\u30c9\u524d\u7acb\u817a\u764c\u9593\u6b47\u7684\u5185\u5206\u6ccc\u7642\u6cd5,
        \u6ccc\u5c3f\u5668\u5916\u79d1<\/strong><\/b>, vol. 24, no. 1, pp. 31-38 (2011).<\/li>\n\n\n\n
      16. \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
        \u8907\u7d20\u6570\u3068\u6570\u7406\u5de5\u5b66,
        \u6570\u7406\u79d1\u5b66<\/strong><\/b> (\u7279\u96c6\u300c\u8907\u7d20\u6570\u300d), \u30b5\u30a4\u30a8\u30f3\u30b9\u793e, 8\u6708\u53f7, pp. 54-55 (2009). <\/li>\n\n\n\n
      17. \u7530\u4e2d \u525b\u5e73,
        \u30ab\u30aa\u30b9\u5de5\u5b66\u306f\u4f55\u3092\u53ef\u80fd\u306b\u3057\u305f\u304b,
        \u79d1\u5b66<\/b> <\/strong>\uff08\u7279\u96c6\u300c\u975e\u7dda\u5f62\u73fe\u8c61\u306e\u5de5\u5b66\u5fdc\u7528\u306b\u5411\u3051\u3066\u300d), \u5ca9\u6ce2\u66f8\u5e97, 11\u6708\u53f7, pp. 1242-1245 (2008). <\/li>\n\n\n\n
      18. \u7530\u4e2d \u525b\u5e73,
        \u8907\u7d20\u6570\u3068\u60c5\u5831\u51e6\u7406,
        \u300c\u793e\u4f1a\u3092\u5909\u3048\u308b\u9a5a\u304d\u306e\u6570\u5b66\u300d<\/b>(\u5408\u539f\u4e00\u5e78 \u7de8\u8457), \u30a6\u30a7\u30c3\u30b8\u9078\u66f8<\/strong>, pp. 193-197 (2008). <\/li>\n<\/ol>\n\n\n\n
        <\/div>\n\n\n\n
        \n\n\n\n

        \u22c4International conferences<\/h2>\n\n\n\n
          \n
        1. G. Tanaka
          Mathematical Collaborative Research across Moonshot Goal 2 Projects (II)
          International Conference on Nonlinear Science and Medicine<\/strong>, Oral, Nov. 20 (2025)<\/li>\n\n\n\n
        2. T. Fujioka and G. Tanaka
          Transformer-Based Vector Font Classification Using Different Font Formats: TrueType versus PostScript
          International Jonit Conference on Neural Networks<\/strong>, Poster, Jul. 5 (2025)<\/li>\n\n\n\n
        3. G. Tanaka
          Reservoir Computing for Slow Electronics
          Workshop for Slow Electronics in AIST<\/strong>, Oral, Mar. 5 (2025)<\/li>\n\n\n\n
        4. G. Tanaka
          Recent progress in reservoir computing: methods and applications
          International Symposium on Physics and Applications of Laser Dynamics (IS-PALD)<\/strong>, Keynote talk, Nov. 6 (2024)<\/li>\n\n\n\n
        5. G. Tanaka
          Diversity-based neural networks: Towards filling the gap between artificial and natural systems
          The 2nd International Workshop on Deep Learning meets Neuromorphic Hardware<\/strong>, ECML-PKDD (Vilnius), Keynote talk, Sep. 9 (2024)<\/li>\n\n\n\n
        6. R. Nakane and G. Tanaka
          On-chip reservoir computing device utilizing spin waves: Numerical demonstration of temporal information processing toward edge computing
          International Conference on Neuromorphic Computing and Engineering (ICNCE)<\/strong>, Poster (2024)<\/li>\n\n\n\n
        7. H. Tamura, K. Fujiwara, K. Aihara, and G. Tanaka
          Temporal information processing using Mahalanobis distance of reservoir states
          International Symposium on Nonlinear Science and Medicine (ISNSM2024)<\/strong>, Ito Hall, The University of Tokyo, Poster, Mar. 15 (2024)<\/li>\n\n\n\n
        8. H. Inoue, H. Tamura, A. Kitoh, X. Chen, Z. Byambadorj, T. Yajima, Y. Hotta, T. Iizuka, G. Tanaka, and I. H. Inoue
          Tailoring oxygen diffusion dynamics in three-terminal devices for spiking reservoir computing
          Memrisys 2023<\/strong>, Oral, Nov. 6 (2023)<\/li>\n\n\n\n
        9. G. Tanaka
          Diverse-Timescale Echo State Networks for Multiscale Modeling
          International Conference on Neuromorphic, Natural, and Physical Computing<\/strong>, Oral, Oct. 25 (2023)<\/li>\n\n\n\n
        10. S. Zheng and G. Tanaka
          Inference of network structure in dynamic systems using a generative model
          Dynamics Days US 2023<\/b>, Poster (Online), Jan. 10 (2023)<\/li>\n\n\n\n
        11. A. Hirose, R. Nakane, and G. Tanaka
          Reservoir computing: A framework to bring new interaction paradigm between neural dynamics and hardware
          IEEE International Conference on Emerging Techniques in Computational Intelligence<\/b> (Hyderabad), Keynote talk, Aug. 25 (2022)<\/li>\n\n\n\n
        12. A. Hirose, R. Nakane, and G. Tanaka
          Physical Reservoir Computing: Its Advantages and Significance
          IEICE English Webinar<\/b>, Apr. 26 (2022)<\/li>\n\n\n\n
        13. A. Hirose, H. Numata, J. B. Heroux, T. Yamane, D. Nakano, G. Tanaka, and R. Nakane
          Physical reservoir computing frameworks utilizing optical or spin-wave dynamics
          The 10th RIEC International Symposium on Brain Functions and Brain Computer<\/b>, Invited talk, Feb. 19 (2022)<\/li>\n\n\n\n
        14. G. Tanaka and R. Nakane\n\t\t
          Role of nonlinearity in memristive networks for reservoir computing\n\t\t
          Memrisys 2021<\/b>, Oral, Nov. 4 (2021)\n\t\t<\/li>\n\n\n\n
        15. G. Tanaka
          Physical reservoir computing with nanotechnology,
          IEEE International Nanodevices and Computing Conference<\/b> (virtual), Invited talk, Sep. 24 (2021)<\/li>\n\n\n\n
        16. A. Hirose, R. Nakane, G. Tanaka, J. B. Heroux, T. Yamane, H. Numata, and D.Nakano
          Physical Reservoir Computing for Sensor Network Society with Energy Efficient Intelligence
          Photonics in Electromagnetics Workshop<\/b> (Sapporo, Online), Invited talk, Nov. 29 (2021)<\/li>\n\n\n\n
        17. A. Hirose, R. Nakane, J.B. Heroux, T. Yamane, H. Numata, D. Nakano, and G. Tanaka
          Physical reservoir computing in neural-network hardware history: Dynamics features of spin-wave and optical reservoirs
          The 9th RIEC International Symposium on Brain Functions and Brain Computer (BFBC)<\/b> (Sendai, Online), Dec. 5 (2020)<\/li>\n\n\n\n
        18. G. Tanaka
          Introduction to Physical RC,
          International Conference on Neuromorphic Systems (ICONS Conference)<\/b> (virtual, July 28-30), Invited talk, July 30 (2020)<\/li>\n\n\n\n
        19. J. B. Heroux, G. Tanaka, R. Nakane, N. Kanazawa, S. Takeda, H. Numata, D. Nakano, A. Hirose,
          Time delay reservoir computing with VCSEL,
          SPIE Photonics West, AI and Optical Data Science (Conference 11299)<\/b>, Keynote Presentation, Feb. 4 (2020)<\/li>\n\n\n\n
        20. A. Hirose, R. Nakane, G. Tanaka
          Physical Reservoir Computing Devices: Truly Neural Hardware in the AI and Sensor-Network Era
          International Conference on Neural Information Processing<\/b> (Sydney, Dec. 12-15), Invited talk (2019)<\/li>\n\n\n\n
        21. A. Hirose, R. Nakane, G. Tanaka
          Information processing hardware, physical reservoir computing and complex-valued neural networks
          The 2019 International Meeting for Future of Electron Devices, Kansai<\/b> (Kyoto, Nov. 14-15), Invited talk, Nov.14 (2019)<\/li>\n\n\n\n
        22. K. Morino, G. Tanaka, K. Aihara
          Dynamical Robustness and Resilience in Coupled Oscillator Networks
          SIAM Conference on Applications of Dynamical Systems<\/b> (Snowbird, May 19-23), Minisymposium “MS18: Stability and Resilience in Natural Dynamical Systems,” Invited talk, May 19 (2019)<\/li>\n\n\n\n
        23. G. Tanaka
          Bifurcation analysis for dynamical behavior in cell systems
          1st Int. Symp. on Interdisciplinary Approaches to Integrative Understanding of Biological Signaling Networks<\/b> (Tokyo, Feb. 1-2) Oral, Feb. 1, Abstract book, pp. 24-25 (2019)<\/li>\n\n\n\n
        24. G. Tanaka, R. Nakane, A. Hirose
          Network Structure-Dependent Performance of Memristor-Based Reservoir Computing
          Cognitive Computing – Merging Concepts with Hardware<\/b> (Hannover, Dec. 18-20), Poster, Dec. 19 (2018)<\/li>\n\n\n\n
        25. R. Nakane, G. Tanaka, A. Hirose
          Demonstration of spin-wave-based reservoir computing for next-generation machine-learning devices
          International Conference on Magnetism<\/b> (Moscone Center, San Francisco, July 15-20), Poster, B6-10 (2018)<\/li>\n\n\n\n
        26. G. Tanaka
          Reservoir computing with memristor networks
          The 3rd Workshop on Bio-inspired Energy-Efficient Information Systems<\/b> (The University of Tokyo, Mar. 12), Oral (2018)<\/li>\n\n\n\n
        27. G. Tanaka
          Sparse Optimization for Energy Efficient Neural Associative Memories
          The 3rd Workshop on Bio-inspired Energy-Efficient Information Systems<\/b> (The University of Tokyo, Mar. 12), Poster (2018)<\/li>\n\n\n\n
        28. Z. Tong and G. Tanaka
          MNIST Image Classification by Reservoir Computing with Untrained Convolutional Neural Networks
          The 3rd Workshop on Bio-inspired Energy-Efficient Information Systems<\/b> (The University of Tokyo, Mar. 12), Poster (2018)<\/li>\n\n\n\n
        29. Z. Hei and G. Tanaka
          Effect of spatial reservoir structures on the performance of reservoir computing
          The 3rd Workshop on Bio-inspired Energy-Efficient Information Systems<\/b> (The University of Tokyo, Mar. 12), Poster (2018)<\/li>\n\n\n\n
        30. Y. Takizawa, G. Tanaka,
          A Cascading Failure Model in Power Network Systems with Imbalance between Supply and Demand
          International School and Conference on Network Science (NetSciX-2018)<\/b> (Hangzhou, Jan. 4-8), Poster, Jan. 6 (2018)<\/li>\n\n\n\n
        31. G. Tanaka, K. Morino, T. Yuan, and K. Aihara,
          Dynamical Robustness of Coupled Oscillator Networks
          International workshop on analysis of phase dynamics and its application to biological phenomena<\/b> (RCAST, The Univesity of Tokyo), Invited talk, June 30 (2017)<\/li>\n\n\n\n
        32. K. Morino, G. Tanaka, and K. Aihara,
          Dynamical Behavior in Coupled Heterogeneous Excitable Phase Oscillators
          International workshop on analysis of phase dynamics and its application to biological phenomena<\/b> (RCAST, The Univesity of Tokyo), Invited talk, June 30, (2017)<\/li>\n\n\n\n
        33. J. Almendral, T. Sasai, K. Morino, G. Tanaka, K. Aihara,
          The Importance of Assortativity to Improve Dynamical Robustness in Complex Networks
          SIAM Conference on Applications of Dynamical Systems<\/b> (Snowbird, May 21-25), Oral, May 23, Abstract book, p. 120 (2017)<\/li>\n\n\n\n
        34. K. Morino, G. Tanaka, K. Aihara,
          Spontaneous oscillation in coupled heterogeneous excitable phase oscillators
          Dynamics Days US<\/b> (Maryland, Jan. 4-6), Poster, Jan. 5 (2017)<\/li>\n\n\n\n
        35. G. Tanaka,
          Bifurcation Analysis for Disease Models
          School\/Workshop on Applicable Theory of Switched Systems<\/b> (University of Texas at Dallas, June 6-10), Invited talk, June 9 (2016)<\/li>\n\n\n\n
        36. K. Morino, G. Tanaka, K. Aihara
          Bifurcation analysis of coupled heterogeneous phase oscillators
          Dynamics Days Europe<\/b> (Corfu, Greece, June 6-10), Poster, June 7 (2016)<\/li>\n\n\n\n
        37. J. Almendral, T Sasai, K. Morino, G. Tanaka, K. Aihara
          Robustness of oscillatory behavior in correlated networks
          Dynamics Days Europe<\/b> (Corfu, Greece, June 6-10), Oral, June 7 (2016)<\/li>\n\n\n\n
        38. G. Tanaka,
          Bifurcation Analysis for Cellular Systems – NF-kappaB signaling pathway
          2016 A3 Workshop on Interdisciplinary Research Connecting Mathematics and Biology<\/b> (Peking University, Apr. 22-24), Invited talk, Apr. 22 (2016)<\/li>\n\n\n\n
        39. G. Tanaka,
          Neural Associative Memory with Sparse Modular Structures
          The 2nd Workshop on Bio-inspired Energy-Efficient Information Systems<\/b> (The University of Tokyo, Mar. 2nd), Invited talk (2016)<\/li>\n\n\n\n
        40. G. Tanaka,
          Network robustness and brain-inspired computing,
          IBM Workshop on Brain-Inspired Computing<\/b> (IBM Watson Research Center, New York, Apr. 29), Invited talk (2015)<\/li>\n\n\n\n
        41. K. Morino, G. Tanaka, K. Aihara,
          Robustness of Networks Composed of Coupled Heterogeneous Excitable and Oscillatory Units,
          Dynamics Days U.S.<\/b> (Rice University, Houston, Jan. 9-11), Poster, Jan.10 (2015)<\/li>\n\n\n\n
        42. M. Nagata, N. Fujiwara, G. Tanaka, H. Suzuki, E. Kohda, and K. Aihara,
          Effect of Path Length on Robustness in Power Grids,
          Social Modeling and Simulations + Econophysics Colloquium 2014<\/b> (Kobe, Nov. 4-6), Poster, no. 4pPS9, Nov. 5 (2014)<\/li>\n\n\n\n
        43. M. Nagata, N. Fujiwara, G. Tanaka, H. Suzuki, E. Kohda and K. Aihara,
          Relation between Robustness and Topology in Power Grids,
          International School and Conference on Network Science<\/b> (Carifornia, Jun. 4-6, 2014), Poster, no. 96, Jun. 5 (2014)<\/li>\n\n\n\n
        44. G. Tanaka,
          Exploring Neural Networks with Sparse Connectivity for Information Processing,
          Workshop on Bio-inspired Energy-efficient Information Systems<\/b> (Tokyo, Jan. 10), Invited talk (2014)<\/li>\n\n\n\n
        45. K. Morino, G. Tanaka, K. Aihara,
          Failure recovery in complex networks composed of active and inactive oscillators,
          Network Frontier Workshop 2013<\/b> (Northwestern University, Dec. 4-6), Oral, Dec. 6 (2013)<\/li>\n\n\n\n
        46. G. Tanaka, C. Urabe, K. Aihara,
          Epidemic spreading in metapopulation networks with heterogeneous infection risks,
          EPIDEMICS 4<\/b> (Amsterdam, Nov. 19-22), Poster, Nov. 21 (2013)<\/li>\n\n\n\n
        47. B. Wang, G. Tanaka, H. Suzuki, K. Aihara,
          Epidemic spread in interconnected metapopulation networks,
          The 3rd Int. Symp. on Innovative Mathematical Modelling<\/b> (Tokyo, Nov. 12-15), Book of Abstracts, p.126, Poster, Nov. 15 (2013)<\/li>\n\n\n\n
        48. I. Nishikawa, G. Tanaka, K. Aihara,
          Nonstandard scaling law of fluctuations in globally coupled oscillator systems,
          The 3rd Int. Symp. on Innovative Mathematical Modelling<\/b> (Tokyo, Nov. 12-15), Book of Abstracts, p.113, Poster, Nov. 15 (2013)<\/li>\n\n\n\n
        49. K. Morino, G. Tanaka, K. Aihara,
          Effective strategy to recover global oscillation in damaged oscillator networks,
          The 3rd Int. Symp. on Innovative Mathematical Modelling<\/b> (Tokyo, Nov. 12-15), Book of Abstracts, p.112, Poster, Nov. 15 (2013)<\/li>\n\n\n\n
        50. G. Tanaka,
          Epidemic Spreading in Metapopulation Networks and its Control: Theory and Applications,
          The 3rd Int. Symp. on Innovative Mathematical Modelling<\/b> (Tokyo, Nov.12-15), Book of Abstracts, pp. 38-39, Invited talk, Nov. 14 (2013)<\/li>\n\n\n\n
        51. S. Arai, Y. Matsunaga, J. Suehiro, G. Tanaka, K. Aihara,
          Primary Phenomenon in the Network Formation of Endothelial Cells: Effect of Charge,
          The 3rd Int. Symp. on Innovative Mathematical Modelling<\/b> (Tokyo, Nov. 12-15), Poster, Nov. 14 (2013)<\/li>\n\n\n\n
        52. G. Tanaka, K. Morino, K. Aihara,
          Dynamical Robustness of Complex Oscillator Networks,
          The 33rd Dynamics Days Europe<\/b> (Madrid, June 3-7), Book of Abstracts, p. 44, Oral, Jun. 3 (2013)<\/li>\n\n\n\n
        53. K. Tokuda, Y. Katori, G. Tanaka, K. Aihara,
          A mathematical model for switching between representation of current places and reactivation of stored sequences in hippocampal pyramidal neurons,
          JSPS Core-to-Core Program and Specially Promoted Research Joint Symposium<\/b> (Tokyo, Mar. 26-27), Abstracts, C9, Poster, Mar. 27 (2013)<\/li>\n\n\n\n
        54. K. Morino, G. Tanaka, K. Aihara,
          Theoretical study on recovery of dynamic behavior in damaged biological networks,
          JSPS Core-to-Core Program and Specially Promoted Research Joint Symposium<\/b> (Tokyo, Mar. 26-27), Abstracts, C10, Poster, Mar. 27 (2013)<\/li>\n\n\n\n
        55. T. Sasai, K. Morino, G. Tanaka, K. Aihara,
          Effect of Assortativity on Dynamical Robustness of Oscillator Networks,
          JSPS Core-to-Core Program and Specially Promoted Research Joint Symposium<\/b> (Tokyo, Mar. 26-27), Abstracts, C11, Poster, Mar. 27 (2013)<\/li>\n\n\n\n
        56. G. Tanaka,
          Robustness and fragility of dynamics on complex networks,
          Int. Conf. on Towards Mathematical Foundations of Complex Network Theory<\/b> (Kyoto, Sep. 14-16), Abstracts, I10, Invited talk, Sep. 16 (2012)<\/li>\n\n\n\n
        57. K. Morino, G. Tanaka, K. Aihara,
          Clustering in complex networks of coupled excitable and oscillatory phase oscillators,
          Int. Conf. on Towards Mathematical Foundations of Complex Networks Theory<\/b> (Kyoto, Sep. 14-16), Abstracts, P9, Poster, Sep, 15 (2012)<\/li>\n\n\n\n
        58. G. Tanaka, C. Urabe, and K. Aihara,
          Epidemic Spreading in Heterogeneous Metapopulation Networks Composed of High-risk and Low-risk Patches,
          Workshop of Epidemics on Networks: Current Trends and Challenges<\/b> (Girona, Sep. 5-7), Book of Abstracts, pp. 62-64, Short talk and Poster, Sep. 6 (2012)<\/li>\n\n\n\n
        59. G. Tanaka,
          Towards Understanding Robustness of Dynamics and Function in Neural Networks,
          The 2nd International Workshop on Brain Inspired Computing<\/b> (Tsukuba, Jun. 4-5), Abstracts, p. 9, Invited talk, Jun. 4 (2012)<\/li>\n\n\n\n
        60. K. Morino, G. Tanaka, and K. Aihara,
          Phase Transitions in Complex Networks Composed of Excitable and Oscillatory Elements,
          The 2nd Int. Symp. on Innovative Mathematical Modelling<\/b> (Tokyo, May 15-18), Abstracts, p. 86, Poster, May 16 (2012)<\/li>\n\n\n\n
        61. I. Nishikawa, K. Iwayama, G. Tanaka, T. Horita, and K. Aihara,
          Effects of coupling schemes on finite size scaling in globally coupled phase oscillators,
          The 2nd Int. Symp. on Innovative Mathematical Modelling<\/b> (Tokyo, May 15-18), Abstracts, p. 85, Poster, May 16 (2012)<\/li>\n\n\n\n
        62. G. Tanaka, K. Morino, and K. Aihara,
          Dynamical Robustness in Complex Networks of Heterogeneous Oscillators,
          The 2nd Int. Symp. on Innovative Mathematical Modelling<\/b> (Tokyo, May 15-18), Abstracts, p. 79, Poster, May 15 (2012)<\/li>\n\n\n\n
        63. G. Tanaka,
          Network robustness in populations of interacting biological oscillators,
          ESF-JSPS Frontier Science Conference for Young Researchers, Mathematics for innovation: large and complex systems<\/b> (Tokyo, Feb. 28-Mar. 4), Abstract book, pp. 122-123, Poster, Feb. 29, Oral, Mar. 3 (2012)<\/li>\n\n\n\n
        64. G. Tanaka and K. Aihara,
          Bifurcation analyses of switched dynamical systems: applications to disease dynamics,
          Workshop on Applied Dynamical Systems<\/b> (Kyoto, Dec. 3-4), Oral, Dec. 3 (2011)<\/li>\n\n\n\n
        65. G. Tanaka, K. Morino, and K. Aihara,
          Nonlinear Dynamics in Mixed Populations of Periodic and Chaotic Oscillators,
          Kyoto Workshop on NOLTA<\/b> (Kyoto, Nov. 30), Poster (2011)<\/li>\n\n\n\n
        66. K. Morino, G. Tanaka, and K. Aihara,
          Aging Transitions in Multi-layer Networks of Coupled Oscillators, IUTAM Symposium on 50 Years of Chaos: Applied and Theoretical<\/b> (Kyoto, 28-Dec. 2), Poster, Nov. 30 (2011)<\/li>\n\n\n\n
        67. G. Tanaka, H. Cao, and K. Aihara,
          Aging Transitions in a Network of Neural Oscillators,
          Int. Conf. Industrial and Applied Mathematics (ICIAM)<\/b> (Vancouver, Jul. 18-22), Poster, Jul. 19 (2011)<\/li>\n\n\n\n
        68. G. Tanaka, K. Morino, and K. Aihara,
          Robustness of Scale-free Networks of Oscillators against Partial Inactivation,
          The 1st Int. Symp. on Innovative Mathematical Modlling<\/b> (Tokyo, Feb. 28-Mar. 2), Poster, Mar. 1 (2011)<\/li>\n\n\n\n
        69. K. Morino, G. Tanaka, and K. Aihara,
          Robustness of Multi-Layer Networks Composed of Mixed Oscillators,
          Dynamics Days U.S.<\/b> (North Carolina, Jan. 5-8), Poster, Jan. 6 (2011)<\/li>\n\n\n\n
        70. G. Tanaka and K. Aihara,
          Mathematical Modelling of Prostatic Tumor Growth under Intermittent Hormone Therapy,
          Workshop on Mathematical Modeling of Prostate Cancer<\/b> (Santa Fe, Jul. 30-31), Invited talk, Jul. 31 (2010)<\/li>\n\n\n\n
        71. G. Tanaka and K. Aihara,
          Nonlinear Dynamics and Bifurcations in a Hybrid Dynamical System of Infectious Disease,
          The 3rd Int. Conf. on Dynamics, Vibration, and Control<\/b> (Hanzhou, May 12-14), Poster, May 12 (2010)<\/li>\n\n\n\n
        72. G. Tanaka and K. Aihara,
          Effect of Aging on Dynamics in Small-World Networks of Rossler Oscillators,
          Dynamics Days U.S.<\/b> (Evanston, Jan. 4-7), Poster, Jan. 5 (2010)<\/li>\n\n\n\n
        73. G. Tanaka, S. Tsuji, and K. Aihara,
          Grazing-Induced Crisis of a Chaotic Attractor in Hybrid Dynamical Systems,
          Dynamics Days U.S.<\/b> (San Diego, Jan. 8-11), Poster, Jan. 9 (2009)<\/li>\n\n\n\n
        74. G. Tanaka, S. Tsuji, and K. Aihara
          Effects of Noise on a Hybrid Systems Model of Intermittent Hormonal Therapy for Prostate Cancer,
          Int. Conf. Stochastic Resonance<\/b> (Perugia, Aug. 17-21), Abstract book, p. 47, Oral, Aug. 20 (2008)<\/li>\n\n\n\n
        75. G. Tanaka and K. Aihara,
          Bifurcation Analysis of a Hybrid System and its Application to Biomedical Science,
          Nonlinear Dynamics and Chaos: Advances and Perspectives<\/b> (Aberdeen, Sep. 17-21), Oral, Sep. 17 (2007)<\/li>\n\n\n\n
        76. G. Tanaka and K. Aihara,
          Local and Global Bifurcations in a Mathematical Model of Intermittetnt Androgen Suppression Therapy for Prostate Cancer,
          The 2nd Int. Conf. on Dynamics, Vibration, and Control<\/b> (Beijing, Aug. 23-26), Oral, Aug. 24 (2006)<\/li>\n\n\n\n
        77. G. Tanaka and K. Aihara,
          Deterministic Coherence Resonance in Coupled Neural Oscillators,
          Dynamics Days U.S.<\/b> (Maryland), Poster, Jan. 4 (2006)<\/li>\n\n\n\n
        78. G. Tanaka,
          Synchronization and Propagation of Bursts in Networks of Coupled Neurons,
          Int. Workshop on Synchronization: Phenomena and Analyses<\/b> (Tokyo, Oct. 3-6), Oral (2006)<\/li>\n\n\n\n
        79. G. Tanaka and K. Aihara,
          Deterministic Coherence Resonance in Networks of Coupled Chaotic Neural Oscillators,
          BIOCOMP<\/b> (Salerno, Dec. 12-16), Poster (2005)<\/li>\n\n\n\n
        80. G. Tanaka
          Coupling-Induced Coherence Resonance without Noise,
          Int. Symp. Complexity Modelling and its Applications<\/b> (Tokyo, Nov. 21-23), Oral, Nov. 23 (2005)<\/li>\n\n\n\n
        81. G. Tanaka and K. Aihara,
          Applications of Bifurcations to Associative Memory Models,
          Int. Conf. Recent Advances in Bifurcation Theory and Applications of Dynamical Systems<\/b> (Jinhua, Jun. 8-12), Poster (2005)<\/li>\n\n\n\n
        82. G. Tanaka and K. Aihara,
          Chaotic Transitions between Synchronous and Propagating Bursts in Coupled Map Neurons,
          The 2nd Shanghai Int. Symp. on Nonlinear Sciences and Applications <\/b> (Shanghai, Jun. 3-7), Oral (2005)<\/li>\n\n\n\n
        83. G. Tanaka and K. Aihara,
          Spatio-Temporal Dynamics in a Network of Bursting Maps with Ring Structure, Oscillation, Chaos, and Network Dynamics in Nonlinear Science<\/b> (OCNN, Kyoto, Nov. 25-28), Poster (2004)<\/li>\n\n\n\n
        84. G. Tanaka, S. Murashige, and K. Aihara,
          Period-Adding Phenomena in Symmetric Dynamical Systems, New Directions in Dynamical Systems<\/b> (Kyoto, Aug. 5-15), Poster (2002)<\/li>\n<\/ol>\n\n\n\n
          <\/div>\n\n\n\n
          \n\n\n\n

          \u22c4National conferences and meetings<\/h2>\n\n\n\n
            \n
          1. \u4f0a\u85e4 \u7d50\u4eba\uff0c\u65b0\u5c71 \u53cb\u6681\uff0c\u6d45\u4e95 \u54f2\u4e5f\uff0c\u7530\u4e2d \u525b\u5e73\uff0c\u5185\u7530 \u6df3\u53f2\uff0c\u30b9\u30ab\u30ea \u30a2\u30ca\u30b9\uff0c\u7802\u7530 \u54f2
            \u9ad8\u901f\u4fe1\u53f7\u8a08\u6e2c\u306e\u305f\u3081\u306e\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/a>
            \u7b2c73\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u6625\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a\uff0c\u53e3\u982d\u767a\u8868\uff0c16a-M_123-10\uff0c2026\u5e743\u670816\u65e5 (2026).<\/li>\n\n\n\n
          2. \u4f50\u6b21\u7530 \u304f\u308b\u307f\uff0c\u7530\u4e2d \u525b\u5e73
            \u56fa\u5b9aCNN\u3068\u6642\u7cfb\u5217\u30e2\u30c7\u30eb\u306e\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u624b\u6cd5\u3092\u7528\u3044\u305f\u5408\u6210\u30b5\u30a6\u30f3\u30c9\u30b9\u30b1\u30fc\u30d7\u4e0a\u3067\u306e\u30df\u30bd\u30d5\u30a9\u30cb\u30a2\u30fb\u30c8\u30ea\u30ac\u97f3\u691c\u51fa<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a2026\uff0c\u53e3\u982d\u767a\u8868\uff0cA-8-15\uff0c2026\u5e743\u670813\u65e5 (2026).<\/li>\n\n\n\n
          3. \u674e \u5b50\u5f37\uff0c\u7530\u4e2d \u525b\u5e73
            \u95be\u5024\u306b\u57fa\u3065\u304f\u30ea\u30b6\u30d0\u30fc\u72b6\u614b\u30b5\u30d6\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u306b\u3088\u308b\u5c11\u91cf\u30b5\u30f3\u30d7\u30eb\u6642\u7cfb\u5217\u5206\u985e<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a2026\uff0c\u53e3\u982d\u767a\u8868\uff0cD-12-73\uff0c2026\u5e743\u670813\u65e5 (2026).<\/li>\n\n\n\n
          4. Yicheng Song, Jiaxuan Chen, Akira Hirose, Gouhei Tanaka
            Volterra-Series-Based Metrics for Physical Reservoir Computing<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a2026\uff0c\u53e3\u982d\u767a\u8868\uff0cN-1-31\uff0c2026\u5e743\u670813\u65e5 (2026).<\/li>\n\n\n\n
          5. \u4f50\u91ce \u6597\u822a\uff0c\u7530\u4e2d \u525b\u5e73
            Echo State Network\u306b\u3088\u308b\u30ec\u30fc\u30c0\u30fc\u4fe1\u53f7\u3092\u7528\u3044\u305f\u30cf\u30f3\u30c9\u30b8\u30a7\u30b9\u30c1\u30e3\u30fc\u5206\u985e<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a2026\uff0c\u53e3\u982d\u767a\u8868\uff0cD-12-67\uff0c2026\u5e743\u670813\u65e5 (2026).<\/li>\n\n\n\n
          6. \u5409\u6751 \u6709\u751f\uff0c\u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3092\u7528\u3044\u305f\u5f37\u5316\u5b66\u7fd2\u306e\u672a\u77e5\u74b0\u5883\u3078\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u9069\u5fdc<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a2026\uff0c\u53e3\u982d\u767a\u8868\uff0cD-19-25\uff0c2026\u5e743\u670812\u65e5 (2026).<\/li>\n\n\n\n
          7. \u91ce\u4e0a \u6075\u543e\uff0c\u7530\u4e2d \u525b\u5e73
            \u968e\u5c64\u7684\u30d9\u30a4\u30ba\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u30ea\u30b6\u30d0\u30fc\u72b6\u614b\u89e3\u6790\u306b\u3088\u308b\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u30c9\u9023\u5408\u5b66\u7fd2<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a2026\uff0c\u53e3\u982d\u767a\u8868\uff0cD-19-24\uff0c2026\u5e743\u670812\u65e5 (2026).<\/li>\n\n\n\n
          8. \u85e4\u5ca1 \u62d3\u5922\uff0c\u7530\u4e2d \u525b\u5e73
            \u30d1\u30c3\u30c1\u57cb\u3081\u8fbc\u307f\u3092\u7528\u3044\u305f Transformer VAE \u306b\u3088\u308b\u30d9\u30af\u30bf\u30fc\u30d5\u30a9\u30f3\u30c8\u306e\u6f5c\u5728\u7a7a\u9593\u88dc\u9593<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a2026\uff0c\u53e3\u982d\u767a\u8868\uff0cD-12-43\uff0c2026\u5e743\u670812\u65e5 (2026).<\/li>\n\n\n\n
          9. \u4e09\u6d66 \u5927\u96c5\uff0c\u674e \u5b50\u5f37\uff0c\u7530\u4e2d \u525b\u5e73
            Anti-Hebb\u5247\u3092\u7528\u3044\u305fDeep Echo State Network\u306e\u6700\u9069\u5316<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a2026\uff0c\u53e3\u982d\u767a\u8868\uff0cD-2-06\uff0c2026\u5e743\u670812\u65e5 (2026).<\/li>\n\n\n\n
          10. \u7530\u4e2d \u525b\u5e73
            Diversity-aware reservoir computing
            Dynamics Days Kagoshima 2025, \u4f9d\u983c\u8b1b\u6f14, 12\u67086\u65e5 (2025)<\/li>\n\n\n\n
          11. \u85e4\u5ca1 \u62d3\u5922, \u7530\u4e2d \u525b\u5e73
            \u30d1\u30c3\u30c1\u57cb\u3081\u8fbc\u307f\u3092\u7528\u3044\u305f Transformer \u306b\u3088\u308b\u30d9\u30af\u30bf\u30fc\u30d5\u30a9\u30f3\u30c8\u306e\u518d\u69cb\u6210
            \u7b2c28\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7, \u30dd\u30b9\u30bf\u30fc\u767a\u8868, 11\u670813\u65e5 (2025).<\/li>\n\n\n\n
          12. \u4f0a\u85e4 \u7d50\u4eba, \u65b0\u5c71 \u53cb\u6681, \u6d45\u4e95 \u54f2\u4e5f, \u7530\u4e2d \u525b\u5e73, \u5185\u7530 \u6df3\u53f2, \u7802\u7530 \u54f2
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u3088\u308b\u30bb\u30f3\u30b5\u30fc\u5e2f\u57df\u306e\u62e1\u5f35
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u8907\u96d1\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30b5\u30a4\u30a8\u30f3\u30b9\u7814\u7a76\u4f1a\uff0c\u53e3\u982d\u767a\u8868\uff0c11\u670811\u65e5 (2025).<\/li>\n\n\n\n
          13. Z. Li, R. S. Fong, K. Fujiwara, K. Aihara, and G. Tanaka
            A Particle Swarm Optimization Approach to Structuring Multiple Simple Cycle Reservoirs
            2025 IRCN Retreat<\/strong> (Hilton Odawara), Poster, Oct. 23 (2025)<\/li>\n\n\n\n
          14. T. Sano and G. Tanaka
            Efficient Gesture Recognition from Radar Data Using Reservoir Computing
            2025 IRCN Retreat<\/strong> (Hilton Odawara), Poster, Oct. 23 (2025)<\/li>\n\n\n\n
          15. K. Sashida and G. Tanaka
            Detecting Misophonia Trigger Sounds from Synthetic Data Using a Convolutional Recurrent Neural Network
            2025 IRCN Retreat<\/strong> (Hilton Odawara), Poster, Oct. 23 (2025)<\/li>\n\n\n\n
          16. A. Yoshimura and G. Tanaka
            Hyperparameter Optimization of Echo State Networks Using Deep Q-Networks
            2025 IRCN Retreat<\/strong> (Hilton Odawara), Poster, Oct. 23 (2025)<\/li>\n\n\n\n
          17. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u57fa\u3065\u304f\u52d5\u7684\u30b7\u30b9\u30c6\u30e0\u30e2\u30c7\u30ea\u30f3\u30b0
            \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a\u30fb\u5236\u5fa1\u90e8\u9580\u30fb\u30d7\u30e9\u30f3\u30c8\u30e2\u30c7\u30ea\u30f3\u30b0\u90e8\u4f1a\u30fb\u300c\u5236\u5fa1\uff0c\u60c5\u5831\uff0c\u5b66\u7fd2\u306e\u30c7\u30a3\u30fc\u30d7\u30b7\u30f3\u30bb\u30b7\u30b9\u300d\u7814\u7a76\u4f1a, \u4f9d\u983c\u8b1b\u6f14, 6\u670813\u65e5 (2025)<\/li>\n\n\n\n
          18. \u85e4\u5ca1 \u62d3\u5922, \u7530\u4e2d \u525b\u5e73
            \u30d1\u30c3\u30c1\u57cb\u3081\u8fbc\u307f\u3092\u7528\u3044\u305fTransformer\u306b\u3088\u308b\u30d9\u30af\u30bf\u30fc\u30d5\u30a9\u30f3\u30c8\u306e\u5206\u985e
            \u7b2c39\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a<\/strong>, \u30dd\u30b9\u30bf\u30fc\u767a\u8868, \u8ab2\u984c\u756a\u53f73Win5-25, 5\u670829\u65e5 (2025)<\/li>\n\n\n\n
          19. \u91ce\u4e0a \u6075\u543e, \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u8a08\u7b97\u30e2\u30c7\u30eb\u306e\u9023\u5408\u5b66\u7fd2\u306b\u3088\u308b\u6642\u7cfb\u5217\u7570\u5e38\u691c\u77e5\u306b\u304a\u3051\u308b\u8a08\u7b97\u52b9\u7387\u5316
            \u7b2c39\u56de\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a<\/strong>, \u30dd\u30b9\u30bf\u30fc\u767a\u8868, \u8ab2\u984c\u756a\u53f73Win5-27, 5\u670829\u65e5 (2025)<\/li>\n\n\n\n
          20. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3068\u975e\u7dda\u5f62\u7269\u7406\u73fe\u8c61
            \u6771\u4eac\u5927\u5b66\u7269\u6027\u7814\u7a76\u6240\u30b9\u30d1\u30b3\u30f3\u5171\u540c\u5229\u7528\u30fbCCMS\u5408\u540c\u7814\u7a76\u4f1a\u300c\u6a5f\u68b0\u5b66\u7fd2\u3068\u8a08\u7b97\u7269\u6027\u79d1\u5b66\u306e\u672a\u6765\u300d<\/strong>\uff0c\u62db\u5f85\u8b1b\u6f14, 4\u67084\u65e5 (2025)<\/li>\n\n\n\n
          21. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u30a8\u30c3\u30b8AI\u6d3b\u7528\u306b\u5411\u3051\u3066
            \u6771\u4eac\u5927\u5b66 \u5148\u7aef\u77e5\u80fd\u6a5f\u68b0\u60c5\u5831\u5b66\u30bb\u30df\u30ca\u30fc<\/strong>, \u62db\u5f85\u8b1b\u6f14, 3\u670817\u65e5 (2025)<\/li>\n\n\n\n
          22. \u4f0a\u85e4 \u7d50\u4eba, \u65b0\u5c71 \u53cb\u6681, \u6d45\u4e95 \u54f2\u4e5f, \u7530\u4e2d \u525b\u5e73, \u5185\u7530 \u6df3\u53f2, \u7802\u7530 \u54f2
            Seeing fast through slow:\u9ad8\u901f\u4fe1\u53f7\u3092\u3068\u3089\u3048\u308b\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u30bb\u30f3\u30b7\u30f3\u30b0
            \u7b2c72\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u6625\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a<\/strong>, \u53e3\u982d\u767a\u8868, 17p-K306-2, 3\u670817\u65e5 (2025)<\/li>\n\n\n\n
          23. \u4e2d\u6751 \u4ec1, \u52a0\u85e4 \u4e07\u7406\u5b50, \u9ed2\u5ca9 \u84bc\u592a\u90ce, \u5d0e\u91ce \u4e5f\u771f\u4eba, \u7530\u4e2d \u525b\u5e73, \u5c71\u4e0b \u6d0b\u53f2, \u9234\u6728 \u79c0\u5e78, \u767d\u5742 \u5c06
            \u30ea\u30b6\u30d0\u30fc\u8a08\u7b97\u306b\u89e6\u767a\u3055\u308c\u305f\u8efd\u91cf\u578bTransformer \u306e\u63d0\u6848\uff1a\u91cd\u307f\u5171\u6709\u3092\u7528\u3044\u305f\u8a08\u7b97\u306e\u52b9\u7387\u5316\u3068\u6027\u80fd\u8a55\u4fa1
            \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c31\u56de\u5e74\u6b21\u5927\u4f1a<\/strong>(NLP2025), \u767a\u8868\u8ad6\u6587\u96c6 pp. 3103-3107, \u53e3\u982d\u767a\u8868, C8-1, 3\u670813\u65e5 (2025)<\/li>\n\n\n\n
          24. \u798f\u539f \u9678\u7fd4, \u7530\u4e2d \u525b\u5e73, \u9234\u6728 \u572d, \u83c5\u8c37 \u307f\u3069\u308a
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u3088\u308b\u751f\u4f53\u60c5\u5831\u3092\u7528\u3044\u305f\u7701\u8cc7\u6e90\u304b\u3064\u52b9\u7387\u7684\u306a\u611f\u60c5\u63a8\u5b9a\u624b\u6cd5\u306e\u63d0\u6848
            \u60c5\u5831\u51e6\u7406\u5b66\u4f1a \u7b2c210\u56de \u30d2\u30e5\u30fc\u30de\u30f3\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u7814\u7a76\u4f1a<\/strong>, \u53e3\u982d\u767a\u8868, 11\u670819\u65e5 (2024) <\/li>\n\n\n\n
          25. \u4e95\u4e0a \u60a0, \u7530\u6751 \u6d69\u4eba, \u9b3c\u982d \u611b, \u30b7\u30e3\u30f3\u30e6 \u30c1\u30a7\u30f3, \u30be\u30eb\u30dc\u30fc, \u30d3\u30e3\u30e0\u30d0\u30c9\u30eb\u30b8, \u77e2\u5d8b \u8d73\u5f6c, \u5800\u7530 \u80b2\u5fd7, \u98ef\u585a \u54f2\u4e5f, \u7530\u4e2d \u525b\u5e73, \u4e95\u4e0a \u516c
            \u9577\u3044\u6642\u9593\u30b9\u30b1\u30fc\u30eb\u3092\u6709\u3059\u308b\u9178\u5316\u7269\u30ea\u30fc\u30af\u7a4d\u5206\u30c8\u30e9\u30f3\u30b8\u30b9\u30bf\u306e\u958b\u767a\u3068\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3078\u306e\u5fdc\u7528 
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u78c1\u6c17\u8a18\u9332\u30fb\u60c5\u5831\u30b9\u30c8\u30ec\u30fc\u30b8\u7814\u7a76\u4f1a<\/strong>\uff08MRIS\uff09\uff0c\u62db\u5f85\u8b1b\u6f14\uff0c11\u67081\u65e5 (2024)<\/li>\n\n\n\n
          26. T. Fujioka and G. Tanaka
            Vector font generation with transformer
            2024 IRCN Retreat<\/strong> (Makuhari International Training center), Poster, Oct. 24 (2024)<\/li>\n\n\n\n
          27. Z. Li, K. Fujiwara, and G. Tanaka
            A genetic approach for designing network topologies ofmultiple reservoir echo state networks
            2024 IRCN Retreat<\/strong> (Makuhari International Training center), Poster, Oct. 24 (2024)<\/li>\n\n\n\n
          28. K. Nogami and G. Tanaka
            Federated learning based on reservoir computing for anomaly detection
            2024 IRCN Retreat<\/strong> (Makuhari International Training center), Poster, Oct. 24 (2024)<\/li>\n\n\n\n
          29. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u3088\u308b\u8907\u96d1\u6642\u7cfb\u5217\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58
            \u7b2c85\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a<\/strong>, \u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u300c\u65b0\u6750\u6599\u30fb\u65b0\u539f\u7406\u3092\u6d3b\u2f64\u3057\u305f\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u793e\u4f1a\u5fdc\u2f64\u306b\u5411\u3051\u3066\u300d, \u62db\u5f85\u8b1b\u6f14, 19p-A41-4, 9\u670819\u65e5 (2024)<\/li>\n\n\n\n
          30. \u4e95\u4e0a \u60a0, \u7530\u6751 \u6d69, \u9b3c\u982d \u611b, \u30c1\u30a7\u30f3 \u30b7\u30e3\u30f3\u30e6, \u30d3\u30e3\u30e0\u30d0\u30c9\u30eb\u30b8 \u30be\u30eb\u30dc\u30fc, \u77e2\u5d8b \u8d73\u5f6c, \u5800\u7530 \u80b2\u5fd7, \u98ef\u585a \u54f2\u4e5f, \u7530\u4e2d \u525b\u5e73, \u4e95\u4e0a \u516c
            FPGA\u5b9f\u88c5\u3057\u305f\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30ea\u30b6\u30d0\u30fc\u306b\u3088\u308b\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u7b46\u8de1\u7570\u5e38\u691c\u77e5
            \u7b2c85\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a<\/strong>, 16p-A33-2, \u53e3\u982d\u767a\u8868, 9\u670816\u65e5 (2024)<\/li>\n\n\n\n
          31. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u57fa\u790e\u30fb\u5fdc\u7528\u30fb\u5b9f\u88c5
            \u5149\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7523\u696d\u30fb\u6280\u8853\u7814\u7a76\u4f1a<\/strong>, \u7814\u7a76\u4f1a\u300c            \u5149\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u65b0\u305f\u306a\u5c55\u671b<\/a>\u300d, \u62db\u5f85\u8b1b\u6f14, 3\u670819\u65e5 (2024)<\/li>\n\n\n\n
          32. \u7530\u4e2d \u525b\u5e73
            \u591a\u69d8\u6027\u306b\u57fa\u3065\u304f\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u7dcf\u5408\u5927\u4f1a \u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30bb\u30c3\u30b7\u30e7\u30f3\u300c\u30cb\u30e5\u30fc\u30ed\u30e2\u30eb\u30d5\u30a3\u30c3\u30af\u30fb\u30ea\u30b6\u30fc\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u73fe\u72b6\u3068\u672a\u6765\u300d<\/strong>, \u62db\u5f85\u8b1b\u6f14, 3\u67086\u65e5 (2024)<\/li>\n\n\n\n
          33. \u99ac\u5834 \u6d69\u5e73, \u85e4\u539f \u5bdb\u592a\u90ce, \u7530\u4e2d \u525b\u5e73
            \u4e00\u4eba\u79f0\u8996\u70b9\u52d5\u753b\u306e\u7279\u6027\u306b\u7740\u76ee\u3057\u305f\u52b9\u7387\u7684\u306a\u6d3b\u52d5\u5206\u985e\u30e2\u30c7\u30eb\u306e\u8a2d\u8a08<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u975e\u7dda\u5f62\u554f\u984c\u7814\u7a76\u4f1a<\/strong>, \u53e3\u982d\u767a\u8868, 1\u670825\u65e5, \u4fe1\u5b66\u6280\u5831, vol. 123, no. 354, NLP2023-116, pp. 153-157 (2024)<\/li>\n\n\n\n
          34. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u3088\u308b\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u5b66\u7fd2
            \u7b2c15\u56deNagoya\u30aa\u30fc\u30d7\u30f3\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u7814\u7a76\u4f1a<\/strong>, \u4f9d\u983c\u8b1b\u6f14, 9\u670822\u65e5 (2023)<\/li>\n\n\n\n
          35. Z. Li, K. Fujiwara, and G. Tanaka
            Identity Recognition with Bidirectional Echo State Networks from Continuous Blood Pressure Data
            The 33rd Annual Meeting of the Japanese Neural Network Society<\/strong>, Oral, Sep. 5 (2023)<\/li>\n\n\n\n
          36. H. Tamura, K. Fujiwara, K. Aihara, G. Tanaka
            Mahalanobis Distance of Reservoir States for Highly-Efficient Time-Series Classification
            The 33rd Annual Meeting of the Japanese Neural Network Society<\/strong>, Poster, Sep. 5 (2023)<\/li>\n\n\n\n
          37. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u9ad8\u6027\u80fd\u5316\u30fb\u9ad8\u52b9\u7387\u5316\u306b\u95a2\u3057\u3066
            \u7b2c15\u56de AI Optics\u7814\u7a76\u30b0\u30eb\u30fc\u30d7\u7814\u7a76\u4f1a<\/strong><\/b>, \u30aa\u30f3\u30e9\u30a4\u30f3, \u62db\u5f85\u8b1b\u6f14, 3\u670817\u65e5 (2023)<\/li>\n\n\n\n
          38. \u7530\u4e2d \u525b\u5e73
            AI\u306b\u3088\u308b\u8907\u96d1\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306e\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58
            \u65e5\u672c\u751f\u7406\u5b66\u4f1a\u7b2c100\u56de\u8a18\u5ff5\u5927\u4f1a<\/strong>, 100\u5468\u5e74\u8a18\u5ff5\u4e8b\u696d\u59d4\u54e1\u4f1a\u4f01\u753b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u300cAI\u304c\u5207\u308a\u958b\u304f\u533b\u5b66\u30fb\u751f\u7406\u5b66\u30fb\u751f\u547d\u79d1\u5b66\u306e\u65b0\u5c55\u958b\u300d<\/b> (\u4eac\u90fd\u56fd\u969b\u4f1a\u9928), \u62db\u5f85\u8b1b\u6f14, 3\u670815\u65e5 (2023)<\/li>\n\n\n\n
          39. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3068\u30de\u30eb\u30c1\u30b9\u30b1\u30fc\u30eb\u30e2\u30c7\u30ea\u30f3\u30b0
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a<\/strong>, \u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u30bb\u30c3\u30b7\u30e7\u30f3\u300cNBT-1. \u6b21\u4e16\u4ee3\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u652f\u3048\u308b\u6570\u7406\u30e2\u30c7\u30eb\u306e\u5c55\u958b\u300d<\/b> (\u829d\u6d66\u5de5\u5927), \u62db\u5f85\u8b1b\u6f14, 3\u67088\u65e5 (2023)<\/li>\n\n\n\n
          40. Wenrui Qiu, Gouhei Tanaka
            Indoor air quality prediction using multi-reservoir echo state network with attention mechanism<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u975e\u7dda\u5f62\u554f\u984c\u7814\u7a76\u4f1a<\/strong><\/b>, \u53e3\u982d\u767a\u8868(\u30aa\u30f3\u30e9\u30a4\u30f3), 1\u670829\u65e5, \u4fe1\u5b66\u6280\u5831, vol. 122, no. 373, NLP2022-106, pp. 135-140 (2023)<\/li>\n\n\n\n
          41. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u6982\u8981\u3068\u6700\u8fd1\u306e\u7814\u7a76
            \u6771\u4eac\u5927\u5b66\u300c\u672a\u6765\u5354\u5275\u5de5\u5b66\u300d\u793e\u4f1a\u9023\u643a\u8b1b\u5ea7 \u7b2c6\u56de\u7814\u7a76\u4f1a<\/strong><\/b>, \u30aa\u30f3\u30e9\u30a4\u30f3, \u62db\u5f85\u8b1b\u6f14, 10\u670812\u65e5 (2022)<\/li>\n\n\n\n
          42. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u57fa\u3065\u304f\u7701\u30a8\u30cd\u60c5\u5831\u51e6\u7406
            \u751f\u7406\u7814\u7814\u7a76\u4f1a<\/strong>\u300c\u7b2c2\u56de \u4eba\u5de5\u77e5\u80fd\u6280\u8853\u3068\u79d1\u5b66\u306e\u5f37\u8abf\u3068\u5c55\u958b\u300d<\/b>, \u30aa\u30f3\u30e9\u30a4\u30f3, \u62db\u5f85\u8b1b\u6f14, 7\u670815\u65e5 (2022)<\/li>\n\n\n\n
          43. Hiroto Tamura, Gouhei Tanaka, Kantaro Fujiwara
            Memory Saving Time Series Anomaly Detection Using Mahalanobis Distance of Reservoir States
            Neuro2022<\/b>, \u53e3\u982d\u767a\u8868, 7\u67081\u65e5, 2O09a1-02 (2022)<\/li>\n\n\n\n
          44. \u9db4\u6d77 \u676d\u4e4b\uff0c\u7530\u4e2d \u525b\u5e73
            \u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068reward-modulated STDP\u306b\u3088\u308b\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u975e\u7dda\u5f62\u554f\u984c\u7814\u7a76\u4f1a<\/b>, \u30cf\u30a4\u30d6\u30ea\u30c3\u30c9, \u53e3\u982d\u767a\u8868, 6\u67089\u65e5, NLP2022-7, pp. 31-35 (2022)<\/li>\n\n\n\n
          45. \u54c1\u5ddd \u5927\u6a39\uff0c\u85e4\u539f \u5bdb\u592a\u90ce\uff0c\u7530\u4e2d \u525b\u5e73
            \u6559\u5e2b\u306a\u3057\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u306e\u305f\u3081\u306e\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u30b9\u30d1\u30fc\u30b9\u7d50\u5408\u306e\u5f71\u97ff
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u975e\u7dda\u5f62\u554f\u984c\u7814\u7a76\u4f1a<\/b>, \u30aa\u30f3\u30e9\u30a4\u30f3, \u53e3\u982d\u767a\u8868, 3\u670829\u65e5, NLP2021-140, pp.71-76 (2022)<\/li>\n\n\n\n
          46. \u6e21\u908a \u9686\u4e8c\uff0c\u7530\u4e2d \u525b\u5e73
            \u30ea\u30ef\u30fc\u30c9\u30de\u30b7\u30f3\u3092\u7528\u3044\u308b\u5f37\u5316\u5b66\u7fd2\u624b\u6cd5\u306e\u8a08\u7b97\u6027\u80fd\u3068\u30bf\u30b9\u30af\u96e3\u6613\u5ea6\u306e\u95a2\u4fc2
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u975e\u7dda\u5f62\u554f\u984c\u7814\u7a76\u4f1a<\/b>, \u30aa\u30f3\u30e9\u30a4\u30f3, \u53e3\u982d\u767a\u8868, 3\u670829\u65e5, NLP2021-141, pp.77-82 (2022)<\/li>\n\n\n\n
          47. \u52a0\u85e4 \u51c6\u4e5f\uff0c\u7530\u4e2d \u525b\u5e73\uff0c\u4e2d\u6839 \u4e86\u660c\uff0c\u5ee3\u702c \u660e
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u3088\u308b\u518d\u69cb\u6210\u51e6\u7406\u3092\u5229\u7528\u3057\u305f\u6642\u7cfb\u5217\u4fe1\u53f7\u306e\u7570\u5e38\u691c\u77e5\u306e\u8a66\u307f
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a<\/b>, \u30aa\u30f3\u30e9\u30a4\u30f3, \u53e3\u982d\u767a\u8868, 3\u67082\u65e5, NC2021-47, pp.5-10 (2022)<\/li>\n\n\n\n
          48. J. Chen, R. Nakane, G. Tanaka, and A. Hirose
            Basic Properties of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a<\/b>, \u30aa\u30f3\u30e9\u30a4\u30f3, \u53e3\u982d\u767a\u8868, 3\u67082\u65e5, NC2021-56, pp.50-55(2022)<\/li>\n\n\n\n
          49. \u4e2d\u6839 \u4e86\u660c\uff0c\u5ee3\u702c \u660e\uff0c\u7530\u4e2d \u525b\u5e73
            \u78c1\u533a\u3092\u4f1d\u64ad\u3059\u308b\u30b9\u30d4\u30f3\u6ce2\u3092\u7528\u3044\u305f\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0
            \u7b2c69\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u6625\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a<\/b>, \u9752\u5b66\u5927+\u30aa\u30f3\u30e9\u30a4\u30f3, \u53e3\u982d\u767a\u8868, 3\u670823\u65e5, 23p-E102-1 (2022)<\/li>\n\n\n\n
          50. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u57fa\u790e\u3068\u5b9f\u88c5
            \u7b2c45\u56de\u5149\u6a5f\u80fd\u78c1\u6027\u6750\u6599\u30fb\u30c7\u30d0\u30a4\u30b9\u5c02\u9580\u7814\u7a76\u4f1a<\/b>\u300cAI\u6280\u8853\u306e\u57fa\u790e\u3068\u5fdc\u7528\u300d,\u3000\u62db\u5f85\u8b1b\u6f14(\u30aa\u30f3\u30e9\u30a4\u30f3), 1\u670817\u65e5 (2022)<\/li>\n\n\n\n
          51. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u57fa\u790e\u3068\u5fdc\u7528
            \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u79d1\u5b66\u7814\u7a76\u4f1a2021<\/b>, \u7d71\u8a08\u6570\u7406\u7814\u7a76\u6240, \u62db\u5f85\u8b1b\u6f14(\u30aa\u30f3\u30e9\u30a4\u30f3), 12\u670812\u65e5 (2021)<\/li>\n\n\n\n
          52. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u591a\u9762\u7684\u306a\u9b45\u529b
            \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30fc\u30b7\u30e7\u30ca\u30eb\u30fb\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u30fb\u30d5\u30a9\u30fc\u30e9\u30e02021<\/b> (\u30aa\u30f3\u30e9\u30a4\u30f3), \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a, \u62db\u5f85\u8b1b\u6f14, 12\u670810\u65e5 (2021)<\/li>\n\n\n\n
          53. \u4e2d\u6839 \u4e86\u660c\uff0c\u5ee3\u702c \u660e\uff0c\u7530\u4e2d \u525b\u5e73
            \u30b9\u30d4\u30f3\u6ce2\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306e\u7a7a\u9593\u5206\u5e03\u3092\u5229\u7528\u3057\u305f\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0
            \u7b2c81\u56de\u30b9\u30d4\u30f3\u30c8\u30ed\u30cb\u30af\u30b9\u5c02\u9580\u7814\u7a76\u4f1a<\/b>, AI\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3092\u6d3b\u7528\u3057\u305f\u30b9\u30d4\u30f3\u30c8\u30ed\u30cb\u30af\u30b9\u7814\u7a76\u306e\u6700\u524d\u7dda, \u62db\u5f85\u8b1b\u6f14, 11\u670819\u65e5 (2021)<\/li>\n\n\n\n
          54. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u6982\u5ff5\u3068\u6700\u8fd1\u306e\u52d5\u5411<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a Webinar\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u30c8\u30ec\u30f3\u30c9\u30b7\u30ea\u30fc\u30ba<\/b>, \u4f9d\u983c\u8b1b\u6f14, 9\u670810\u65e5 (2021)<\/li>\n\n\n\n
          55. \u7530\u6751 \u6d69\u4eba\uff0c\u7530\u4e2d \u525b\u5e73
            \u5c11\u6570\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u304b\u3089\u6210\u308b\u30ea\u30ab\u30ec\u30f3\u30c8\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u8a13\u7df4\u306e\u305f\u3081\u306e\u62e1\u5f35full-FORCE\u6cd5
            \u7b2c30\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a<\/b> (\u30aa\u30f3\u30e9\u30a4\u30f3)\uff0c\u53e3\u982d\u767a\u8868 & \u30dd\u30b9\u30bf\u30fc O1-04 \uff0c12\u67082\u65e5, \u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u96c6 pp.85-86 (2020)<\/li>\n\n\n\n
          56. \u9234\u6728\u96c4\u5927\uff0c\u7530\u4e2d \u525b\u5e73
            \u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u3068\u9078\u629e\u306e\u8133\u5185\u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u8003\u616e\u3057\u305f\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30e2\u30c7\u30eb
            \u7b2c30\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a<\/b> (\u30aa\u30f3\u30e9\u30a4\u30f3)\uff0c\u30dd\u30b9\u30bf\u30fc\u767a\u8868 P1-24\uff0c12\u67082\u65e5 (2020)<\/li>\n\n\n\n
          57. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u73fe\u72b6\u3068\u672a\u6765
            \u5fdc\u7528\u7269\u7406\u5b66\u4f1a \u30b7\u30b9\u30c6\u30e0\u30c7\u30d0\u30a4\u30b9\u30ed\u30fc\u30c9\u30de\u30c3\u30d7\u59d4\u54e1\u4f1a(SDRJ)<\/b> (\u30aa\u30f3\u30e9\u30a4\u30f3)\uff0c\u4f9d\u983c\u8b1b\u6f14\uff0c10\u670830\u65e5 (2020)<\/li>\n\n\n\n
          58. \u7530\u4e2d \u525b\u5e73
            \u7269\u7406\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u3088\u308b\u6642\u7cfb\u5217\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58
            \u7b2c41\u56deIBISML\u7814\u7a76\u4f1a<\/b> (\u30aa\u30f3\u30e9\u30a4\u30f3\uff0c10\u670820-22\u65e5)\uff0c\u62db\u5f85\u8b1b\u6f14\uff0c10\u670821\u65e5, IBISML2020-22, p.40 (2020)<\/li>\n\n\n\n
          59. \u5ee3\u702c\u660e\u3001\u7530\u4e2d\u525b\u5e73\u3001\u4e2d\u6839\u4e86\u660c
            \u8d85\u4f4e\u6d88\u8cbb\u96fb\u529b\u60c5\u5831\u51e6\u7406\u5b9f\u73fe\u306e\u305f\u3081\u306e\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30c1\u30c3\u30d7\u3068\u8907\u7d20\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7406\u8ad6
            \u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u8b1b\u6f14\u4f1a<\/b> (\u30aa\u30f3\u30e9\u30a4\u30f3), 9\u67089\u65e5 (2020)<\/li>\n\n\n\n
          60. G. Tanaka and A. Hirose
            High-dimensional neurodynamics and its applications in neuro-based hardware
            FY2019 RIEC Annual Meeting on Cooperative Research Projects<\/b> (Tohoku Univ), Feb. 20 (2020)<\/li>\n\n\n\n
          61. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u57fa\u790e\u3068\u6700\u8fd1\u306e\u767a\u5c55
            \u5b66\u632f151\u59d4\u54e1\u4f1a\u300c\u5148\u7aef\u30ca\u30ce\u30c7\u30d0\u30a4\u30b9\u30fb\u6750\u6599\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u300d<\/b>\uff08\u7406\u5316\u5b66\u7814\u7a76\u6240\uff09\uff0c\u62db\u5f85\u8b1b\u6f14\uff0c1\u670823\u65e5 (2020)<\/li>\n\n\n\n
          62. H. Tamura, K. Fujiwara, and G. Tanaka
            Convergence Analysis of FORCE Learning Algorithm for Reservoir Computing
            Winter Workshop on Mechanism of Brain and Mind 2020<\/b> (\u30eb\u30b9\u30c4), Poster, Jan. 8 (2020)<\/li>\n\n\n\n
          63. \u5ee3\u702c \u660e\uff0c\u6b66\u7530 \u5f81\u58eb\uff0c\u30d8\u30ed\u30fc\u30fb\u30b8\u30e3\u30f3\u30d9\u30ce\uff0c\u6cbc\u7530 \u82f1\u4fca\uff0c\u91d1\u6fa4 \u76f4\u8f1d\uff0c\u5c71\u6839 \u654f\u5fd7\uff0c\u4e2d\u91ce \u5927\u6a39\uff0c\u4e2d\u6839 \u4e86\u660c\uff0c\u7530\u4e2d \u525b\u5e73
            \u5149\u6ce2\u306b\u3088\u308b\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0
            Optics & Photonics Japan 2019<\/b> (Osaka, 2019\u5e7412\u67082-5\u65e5), \u62db\u5f85\u8b1b\u6f14\uff0c 12\u67084\u65e5 (2019)<\/li>\n\n\n\n
          64. \u7530\u4e2d \u525b\u5e73
            \u7269\u7406\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u6700\u65b0\u52d5\u5411<\/a>
            \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5408\u540c\u7814\u7a76\u4f1a\u3000\u30ca\u30c1\u30e5\u30e9\u30eb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a<\/b>\uff08\u6176\u5fdc\u5927\u5b66\uff09\uff0c\u62db\u5f85\u8b1b\u6f14\uff0c11\u670822\u65e5 (2019)<\/li>\n\n\n\n
          65. \u54c1\u5ddd \u5927\u6a39\uff0c\u7530\u4e2d \u525b\u5e73
            \u753b\u50cf\u9818\u57df\u5206\u5272\u306b\u304a\u3051\u308b\u7591\u4f3c\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u751f\u6210\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6d3b\u6027\u5316\u95a2\u6570\u306e\u5f71\u97ff
            \u7b2c22\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/b>(\u540d\u53e4\u5c4b, 2019\u5e7411\u670820-22\u65e5)\uff0c\u30dd\u30b9\u30bf\u30fc\u767a\u8868\uff0c1-059 (2019)<\/li>\n\n\n\n
          66. \u7530\u4e2d \u525b\u5e73
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\uff1a\u9ad8\u901f\u5b66\u7fd2\u306b\u3088\u308b\u6642\u7cfb\u5217\u60c5\u5831\u51e6\u7406
            \u975e\u30ce\u30a4\u30de\u30f3\u578b\u60c5\u5831\u51e6\u7406\u3078\u5411\u3051\u305f\u30c7\u30d0\u30a4\u30b9\u6280\u8853\u5206\u79d1\u4f1a<\/b>\uff08\u5927\u624b\u753a\uff09\uff0c\u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u96fb\u5b50\u60c5\u5831\u6280\u8853\u7523\u696d\u5354\u4f1a(JEITA), \u62db\u5f85\u8b1b\u6f14, 10\u670816\u65e5 (2019)<\/li>\n\n\n\n
          67. R. Nakane, G. Tanaka, A. Hirose
            Machine-learning computation utilizing spin waves
            \u7b2c43\u56de \u65e5\u672c\u78c1\u6c17\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a<\/b> (2019\u5e749\u670825-27\u65e5\uff09\uff0c\u53e3\u982d\u767a\u8868\uff0c9\u670827\u65e5, \u62db\u5f85\u8b1b\u6f14, \u767a\u8868\u756a\u53f727pB-1 (2019)<\/li>\n\n\n\n
          68. \u5ee3\u702c \u660e\uff0c\u6b66\u7530 \u5f81\u58eb\uff0c\u91d1\u6fa4 \u76f4\u8f1d\uff0c\u6cbc\u7530 \u82f1\u4fca\uff0c\u5c71\u6839 \u654f\u5fd7\uff0c\u4e2d\u91ce \u5927\u6a39\uff0c\u4e2d\u6839 \u4e86\u660c\uff0c\u7530\u4e2d \u525b\u5e73
            \u300c\u30cb\u30e5\u30fc\u30ed\u7684\u300d\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3068\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0
            \u7b2c29\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a<\/b>\uff08\u6771\u5de5\u5927\uff0c9\u67083-6\u65e5\uff09\uff0c\u53e3\u982d\u767a\u8868\uff0c9\u67084\u65e5\uff0c\u767a\u8868\u756a\u53f7 O1-21 (2019)<\/li>\n\n\n\n
          69. \u5e02\u6751 \u525b\u5927\uff0c\u4e2d\u6839 \u4e86\u660c\uff0c\u7530\u4e2d \u525b\u5e73\uff0c\u5ee3\u702c \u660e
            \u30b9\u30d4\u30f3\u6ce2\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30c1\u30c3\u30d7\u306b\u304a\u3051\u308b\u5b9f\u7a7a\u9593\u60c5\u5831\u5206\u5e03
            \u7b2c29\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a<\/b>\uff08\u6771\u5de5\u5927\uff0c9\u67083-6\u65e5\uff09\uff0c\u30dd\u30b9\u30bf\u30fc\u767a\u8868\uff0c9\u67084\u65e5\uff0c\u767a\u8868\u756a\u53f7 P1-30 (2019)<\/li>\n\n\n\n
          70. \u7530\u4e2d \u525b\u5e73,
            \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u6570\u7406\u3068\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2
            \u5927\u962a\u5927\u5b66\u975e\u7dda\u5f62\u6570\u7406\u30bb\u30df\u30ca\u30fc<\/b>, \u62db\u5f85\u8b1b\u6f14, 6\u670826\u65e5 (2019)<\/li>\n\n\n\n
          71. \u5e02\u6751 \u525b\u5927, \u4e2d\u6839 \u4e86\u660c, \u7530\u4e2d \u525b\u5e73, \u5ee3\u702c \u660e
            \u30b9\u30d4\u30f3\u6ce2\u3092\u7528\u3044\u305f\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30c7\u30d0\u30a4\u30b9\u306b\u304a\u3051\u308b\u8377\u91cd\u306e\u7a7a\u9593\u5206\u5e03
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a<\/b> (\u65e9\u7a32\u7530\u5927\u5b66, 3\u670819-22\u65e5), \u53e3\u982d\u767a\u8868, 3\u670820\u65e5, \u767a\u8868\u756a\u53f7 CS-2-8 (2019)<\/li>\n\n\n\n
          72. \u5ee3\u702c \u660e, \u7530\u4e2d \u525b\u5e73, \u4ed67\u540d
            \u30d1\u30bf\u30fc\u30f3\u60c5\u5831\u8868\u73fe\u304a\u3088\u3073\u30d1\u30bf\u30fc\u30f3\u60c5\u5831\u51e6\u7406\u3092\u7269\u7406\u7684\u306b\u5b9f\u73fe\u3059\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30c7\u30d0\u30a4\u30b9
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a<\/b> (\u65e9\u7a32\u7530\u5927\u5b66, 3\u670819-22\u65e5), \u4f9d\u983c\u8b1b\u6f14, 3\u670820\u65e5, \u767a\u8868\u756a\u53f7 CS-2-7 (2019)<\/li>\n\n\n\n
          73. \u4e2d\u6839 \u4e86\u660c, \u7530\u4e2d \u525b\u5e73, \u5ee3\u702c \u660e
            \u30b9\u30d4\u30f3\u6ce2\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30c1\u30c3\u30d7\u30c7\u30d0\u30a4\u30b9
            \u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u6625\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a<\/b> (\u6771\u4eac\u5de5\u696d\u5927\u5b66, 3\u67089-12\u65e5), \u53e3\u982d\u767a\u8868, 3\u670812\u65e5, \u767a\u8868\u756a\u53f7 12p-W933-10 (2019)<\/li>\n\n\n\n
          74. \u5e02\u6751 \u525b\u5927, \u4e2d\u6839 \u4e86\u660c, \u7530\u4e2d \u525b\u5e73, \u5ee3\u702c \u660e
            \u30b9\u30d4\u30f3\u6ce2\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a4\u30f3\u30b0\u306b\u304a\u3051\u308b\u6709\u7528\u60c5\u5831\u306e\u7a7a\u9593\u5206\u5e03
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a<\/b> (\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, 3\u67084-6\u65e5), \u53e3\u982d\u767a\u8868, 3\u67085\u65e5, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u4fe1\u5b66\u6280\u5831, NC2018-66, pp. 121-126 (2019)<\/li>\n\n\n\n
          75. \u5ee3\u702c \u660e, \u7530\u4e2d \u525b\u5e73\uff0c\u6b66\u7530 \u5f81\u58eb\uff0c\u5c71\u6839 \u654f\u5fd7\uff0c\u6cbc\u7530 \u82f1\u4fca\uff0c\u91d1\u6fa4 \u76f4\u8f1d\uff0c\u30d8\u30ed\u30fc\u30fb\u30b8\u30e3\u30f3\u30d9\u30ce\uff0c\u4e2d\u91ce \u5927\u6a39\uff0c\u4e2d\u6839 \u4e86\u660c
            \u30d1\u30bf\u30fc\u30f3\u60c5\u5831\u8868\u73fe\u304a\u3088\u3073\u30d1\u30bf\u30fc\u30f3\u60c5\u5831\u51e6\u7406\u3092\u7269\u7406\u7684\u306b\u5b9f\u73fe\u3059\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30c7\u30d0\u30a4\u30b9
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a<\/b> (\u65e9\u7a32\u7530\u5927\u5b66, 3\u670819-22\u65e5), \u4f9d\u983c\u8b1b\u6f14, 3\u670820\u65e5, \u767a\u8868\u756a\u53f7 CS-2-7 (2019)<\/li>\n\n\n\n
          76. \u7530\u4e2d \u525b\u5e73
            \u8907\u96d1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u52d5\u7684\u9811\u5f37\u6027<\/a>
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u3000\u8907\u96d1\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30b5\u30a4\u30a8\u30f3\u30b9\u7814\u7a76\u4f1a<\/b> (\u795e\u6238\u5927\u5b66\uff0c11\u670822-23\u65e5), \u62db\u5f85\u8b1b\u6f14, 11\u670822\u65e5, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u4fe1\u5b66\u6280\u5831, CCS2018-39 (2018)<\/li>\n\n\n\n
          77. \u79cb\u5c71 \u8cb4\u5247, \u7530\u4e2d \u525b\u5e73
            \u591a\u6bb5\u968e\u5b66\u7fd2Echo state network\u306b\u3088\u308b\u975e\u7dda\u5f62\u6642\u7cfb\u5217\u4e88\u6e2c
            \u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u3068\u6a5f\u68b0\u5b66\u7fd2\u7814\u7a76\u4f1a<\/b> (IBISML, \u672d\u5e4c, 11\u67084-7\u65e5), \u30dd\u30b9\u30bf\u30fc\u767a\u8868, 11\u67085\u65e5, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u4fe1\u5b66\u6280\u5831, IBISML2018-83 (2018)<\/li>\n\n\n\n
          78. Z. Tong and G. Tanaka
            3D-skeleton-Based Human Action Recognition with a Combination of Random Convolutional Networks and Echo State Networks
            \u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u3068\u6a5f\u68b0\u5b66\u7fd2\u7814\u7a76\u4f1a<\/b> (IBISML, \u672d\u5e4c, 11\u67084-7\u65e5), \u30dd\u30b9\u30bf\u30fc\u767a\u8868, 11\u67085\u65e5, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u4fe1\u5b66\u6280\u5831, IBISML2018-99 (2018)<\/li>\n\n\n\n
          79. G. Tanaka
            Recent advances in physical reservoir computing
            The 3rd Neuromorphic Research Retreat in AIST<\/b> (National Institute of Advanced Industrial Science and Technology (AIST), Oct. 31), Invited talk (2018)<\/li>\n\n\n\n
          80. G. Tanaka
            Mathematical approach to energy efficient neural information processing
            The 2nd Neuromorphic Research Retreat in AIST<\/b> (National Institute of Advanced Industrial Science and Technology (AIST), Feb. 17), Invited talk (2018)<\/li>\n\n\n\n
          81. \u7530\u4e2d \u525b\u5e73
            \u7701\u30a8\u30cd\u30eb\u30ae\u30fc\u8133\u578b\u60c5\u5831\u51e6\u7406\u3078\u306e\u6570\u7406\u7684\u30a2\u30d7\u30ed\u30fc\u30c1
            \u5e73\u621029\u5e74\u5ea6 \u7b2c4\u56de\u30d6\u30ec\u30a4\u30f3\u30a6\u30a7\u30a2\u7814\u7a76\u4f1a<\/b>\uff08\u6771\u5317\u5927\u5b66\u96fb\u6c17\u901a\u4fe1\u7814\u7a76\u6240, 2\u67087\u65e5), \u62db\u5f85\u8b1b\u6f14 (2018)<\/li>\n\n\n\n
          82. \u7530\u4e2d \u525b\u5e73
            \u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u529b\u5b66\u7cfb\u3068\u7d30\u80de\u30b7\u30b9\u30c6\u30e0\u89e3\u6790
            \u7b2c27\u56de\u6570\u7406\u751f\u7269\u5b66\u4f1a2017<\/b>(\u5317\u6d77\u9053\u5927\u5b66, 10\u67086-8\u65e5), \u4f01\u753b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u300c\u751f\u7269\u30c7\u30fc\u30bf\u3068\u6570\u7406\u89e3\u6790\u30fb\u30e2\u30c7\u30ea\u30f3\u30b0\u300d\u62db\u5f85\u8b1b\u6f14, \u8981\u65e8\u96c6 p. 60 (2017)<\/li>\n\n\n\n
          83. \u7027\u6fa4 \u96c4\u767b, \u7530\u4e2d \u525b\u5e73
            \u5927\u898f\u6a21\u505c\u96fb\u3092\u60f3\u5b9a\u3057\u305f\u96fb\u529b\u7cfb\u7d71\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u30ab\u30b9\u30b1\u30fc\u30c9\u6545\u969c
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u975e\u7dda\u5f62\u554f\u984c\u7814\u7a76\u4f1a<\/b> (\u5bae\u53e4\u5cf6, 7\u670813-14\u65e5) \u53e3\u982d\u767a\u8868, 7\u670814\u65e5, \u4fe1\u5b66\u6280\u5831, vol. 117, no. 121, NLP2017-39, pp. 63-66 (2017)<\/li>\n\n\n\n
          84. \u7530\u4e2d \u525b\u5e73, \u4e2d\u6839 \u4e86\u660c, \u5c71\u6839 \u654f\u5fd7, \u4e2d\u91ce \u5927\u6a39, \u6b66\u7530 \u5f81\u58eb, \u4e2d\u5ddd \u8302, \u5ee3\u702c \u660e
            \u30cb\u30e5\u30fc\u30ed\u30f3\u7279\u6027\u306e\u4e0d\u5747\u4e00\u6027\u3092\u8003\u616e\u3057\u305f\u30a8\u30b3\u30fc\u30b9\u30c6\u30fc\u30c8\u30cd\u30c3\u30c8\u30ef\u30fc\u30af
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2017\u5e74\u7dcf\u5408\u5927\u4f1a<\/b> (\u540d\u57ce\u5927\u5b66, 3\u670821-25\u65e5), \u53e3\u982d\u767a\u8868, DS-2-3, 3\u670822\u65e5 (2017)<\/li>\n\n\n\n
          85. \u5c71\u6839 \u654f\u5fd7, \u6b66\u7530 \u5f81\u58eb, \u4e2d\u91ce \u5927\u6a39, \u7530\u4e2d \u525b\u5e73, \u4e2d\u6839 \u4e86\u660c, \u5ee3\u702c \u660e, \u4e2d\u5ddd \u8302
            \u975e\u7dda\u5f62\u7269\u7406\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306b\u3088\u308b\u30ea\u30b6\u30fc\u30d0\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2017\u5e74\u7dcf\u5408\u5927\u4f1a<\/b> (\u540d\u57ce\u5927\u5b66, 3\u670821-25\u65e5), \u53e3\u982d\u767a\u8868, DS-2-4, 3\u670822\u65e5 (2017)<\/li>\n\n\n\n
          86. \u6b66\u7530 \u5f81\u58eb, \u5c71\u6839 \u654f\u5fd7, \u4e2d\u91ce \u5927\u6a39, \u7530\u4e2d \u525b\u5e73, \u4e2d\u6839 \u4e86\u660c, \u5ee3\u702c \u660e, \u4e2d\u5ddd \u8302
            \u5916\u90e8\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u30fb\u30ec\u30fc\u30b6\u3092\u7528\u3044\u305f\u30ea\u30b6\u30fc\u30d0\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2017\u5e74\u7dcf\u5408\u5927\u4f1a<\/b> (\u540d\u57ce\u5927\u5b66, 3\u670821-25\u65e5), \u53e3\u982d\u767a\u8868, DS-2-5, 3\u670822\u65e5 (2017)<\/li>\n\n\n\n
          87. \u5ee3\u702c \u660e, \u6b66\u7530 \u5f81\u58eb, \u7530\u4e2d \u525b\u5e73, \u4e2d\u6839 \u4e86\u660c, \u5c71\u6839 \u654f\u5fd7, \u4e2d\u91ce \u5927\u6a39, \u4e2d\u5ddd \u8302
            \u30ea\u30b6\u30fc\u30d0\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u304a\u3051\u308b\u8907\u7d20\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2017\u5e74\u7dcf\u5408\u5927\u4f1a<\/b> (\u540d\u57ce\u5927\u5b66, 3\u670821-25\u65e5), \u53e3\u982d\u767a\u8868, DS-2-6, 3\u670822\u65e5 (2017)<\/li>\n\n\n\n
          88. \u68ee\u91ce \u4f73\u751f, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78
            \u8208\u596e\u6027\u632f\u52d5\u5b50\u7d50\u5408\u7cfb\u306b\u304a\u3051\u308b\u81ea\u767a\u7684\u306a\u632f\u52d5\u73fe\u8c61
            \u65e5\u672c\u7269\u7406\u5b66\u4f1a \u7b2c71\u56de\u5e74\u6b21\u5927\u4f1a<\/b> (\u5927\u962a\u5927\u5b66, 3\u670817-20\u65e5), \u53e3\u982d\u767a\u8868, 20aB31-5, 3\u670820\u65e5 (2017)<\/li>\n\n\n\n
          89. \u7530\u4e2d \u525b\u5e73\n\t\t
            \u30ea\u30b6\u30fc\u30d0\u8a08\u7b97\u3068\u7701\u30a8\u30cd\u30eb\u30ae\u30fc\u60c5\u5831\u51e6\u7406\n\t\t
            \u7b2c219\u56de\u6709\u6a5f\u30a8\u30ec\u30af\u30c8\u30ed\u30cb\u30af\u30b9\u6750\u6599\u7814\u7a76\u4f1a<\/b> (\u6771\u4eac\u5927\u5b66\u5148\u7aef\u79d1\u5b66\u6280\u8853\u7814\u7a76\u30bb\u30f3\u30bf\u30fc, 10\u670812\u65e5), \u62db\u5f85\u8b1b\u6f14 (2016)\n\t\t<\/li>\n\n\n\n
          90. G. Tanaka,
            Metapopulation epidemic models with heterogeneous patches,
            The 2016 annual meeting of The Japanese Society for Mathematical Biology (JSMB2016)<\/b> (Kyushu University, Sep. 7-9), Invited talk, Sep. 7, Abstract book, p.60 (2016)<\/li>\n\n\n\n
          91. K. Inoue, H. Shinohara, G. Tanaka, K. Aihara, M. Okada-Hatakeyama,
            Mathematical model for NF-kB signal transduction system,
            The 2016 annual meeting of The Japanese Society for Mathematical Biology (JSMB2016)<\/b> (Kyushu University, Sep. 7-9), Poster, Sep. 7, Abstract book, p.205 (2016)<\/li>\n\n\n\n
          92. \u7530\u4e2d \u525b\u5e73
            \u7d30\u80de\u30b7\u30b9\u30c6\u30e0\u306e\u5206\u5c90\u89e3\u6790,
            \u7d30\u80de\u30b7\u30b9\u30c6\u30e0\u306e\u52d5\u614b\u3068\u8ad6\u7406VIII<\/b> (\u7406\u5316\u5b66\u7814\u7a76\u6240, 4\u670814-15\u65e5), \u62db\u5f85\u8b1b\u6f14, 4\u670815\u65e5 (2016)<\/li>\n\n\n\n
          93. G. Tanaka,
            Stability and Bifurcation Analysis of an NF-kB pathway model,
            The 53rd Annual Meeting of the Biophysical Society of Japan (\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a)<\/b> (Kanazawa University, Sep. 13-15), Oral, Sep. 13 (2015)<\/li>\n\n\n\n
          94. Z. Tong and G. Tanaka,
            A Comparison between Pruning and Regularization for Feedforward Neural Networks
            The 29th Workhshop on Circuits and Systems (\u56de\u8def\u3068\u30b7\u30b9\u30c6\u30e0\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7)<\/b> (Awaji Yumebutai International Conference Center, Aug. 3-4), Oral, Aug. 3 (2015)<\/li>\n\n\n\n
          95. \u68ee\u91ce \u4f73\u751f, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
            \u30d8\u30c6\u30ed\u6027\u3092\u6301\u3064\u5468\u671f\u6027\u30fb\u8208\u596e\u6027\u4f4d\u76f8\u632f\u52d5\u5b50\u7d50\u5408\u7cfb\u306e\u9811\u5f37\u6027,
            \u65e5\u672c\u7269\u7406\u5b66\u4f1a \u7b2c70\u56de\u5e74\u6b21\u5927\u4f1a<\/b> (\u65e9\u7a32\u7530\u5927\u5b66, 3\u670821-24\u65e5), \u30dd\u30b9\u30bf\u30fc\u767a\u8868, 3\u670821\u65e5 (2015)<\/li>\n\n\n\n
          96. \u5c71\u6839 \u654f\u5fd7,\u7530\u4e2d \u525b\u5e73, \u4e2d\u91ce \u5927\u6a39, \u4e2d\u6839 \u4e86\u660c, \u7247\u5c71 \u6cf0\u5c1a,
            \u758e\u7d50\u5408\u3092\u6301\u3064\u30e2\u30b8\u30e5\u30e9\u30fc\u578b\u81ea\u5df1\u9023\u60f3\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u7279\u6027\u89e3\u6790,
            \u7b2c17\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/b> (\u540d\u53e4\u5c4b\u5927\u5b66, 11\u670816-19\u65e5), \u30dd\u30b9\u30bf\u30fc\u767a\u8868, 11\u670818\u65e5 (2014)<\/li>\n\n\n\n
          97. \u7b39\u4e95 \u5065\u884c, \u68ee\u91ce \u4f73\u751f, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
            \u6b21\u6570\u76f8\u95a2\u3092\u6301\u3064\u632f\u52d5\u5b50\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u52d5\u7684\u9811\u5f37\u6027,
            \u8907\u96d1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30b5\u30de\u30fc\u30b9\u30af\u30fc\u30eb<\/b> (\u6771\u5317\u5927\u5b66, 8\u670818-21\u65e5), \u53e3\u982d\u767a\u8868, O-B2, 8\u670819\u65e5 (2014)<\/li>\n\n\n\n
          98. \u7530\u4e2d \u525b\u5e73,
            \u611f\u67d3\u75c7\u6d41\u884c\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u30ef\u30af\u30c1\u30f3\u914d\u5206\u554f\u984c\u3068\u6700\u9069\u5236\u5fa1,
            \u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a \u7b2c1\u56de\u5236\u5fa1\u90e8\u9580\u30de\u30eb\u30c1\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0<\/b> (\u96fb\u6c17\u901a\u4fe1\u5927\u5b66, 3\u67084-7\u65e5), \u53e3\u982d\u767a\u8868, 6D3-1, 3\u67086\u65e5 (2014)<\/li>\n\n\n\n
          99. \u7530\u4e2d \u525b\u5e73, \u5360\u90e8 \u5343\u7531, \u5408\u539f \u4e00\u5e78,
            \u30e1\u30bf\u30dd\u30d4\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u611f\u67d3\u75c7\u5bfe\u7b56\u6226\u7565\u306e\u6709\u52b9\u6027\u306e\u8a55\u4fa1,
            \u6587\u79d1\u7701Workshop\u300c\u611f\u67d3\u75c7\u6d41\u884c\u30e2\u30c7\u30ea\u30f3\u30b0\uff1a\u7406\u8ad6\uff0c\u5b9f\u8df5\u3068\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u30ae\u30e3\u30c3\u30d7\u3092\u57cb\u3081\u308b\u300d<\/b> (\u6771\u4eac\u5927\u5b66, 10\u670823\u65e5), \u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u96c6\uff0cpp. 35-36, \u53e3\u982d\u767a\u8868 (2013)<\/li>\n\n\n\n
          100. \u5360\u90e8 \u5343\u7531, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
            \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u30fb\u30d9\u30fc\u30b9\u30fb\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308b\u611f\u67d3\u6700\u7d42\u898f\u6a21\u306e\u611f\u67d3\u7387\uff0c\u6f5c\u4f0f\u53ca\u3073\u611f\u67d3\u671f\u9593\u4f9d\u5b58\u6027\u306e\u63a8\u5b9a,
            \u6587\u79d1\u7701Workshop\u300c\u611f\u67d3\u75c7\u6d41\u884c\u30e2\u30c7\u30ea\u30f3\u30b0\uff1a\u7406\u8ad6\uff0c\u5b9f\u8df5\u3068\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u30ae\u30e3\u30c3\u30d7\u3092\u57cb\u3081\u308b\u300d<\/b> (\u6771\u4eac\u5927\u5b66, 10\u670823\u65e5), \u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u96c6, pp. 23-24, \u53e3\u982d\u767a\u8868 (2013)<\/li>\n\n\n\n
          101. \u68ee\u91ce \u4f73\u751f, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
            \u6d3b\u6027\u30fb\u4e0d\u6d3b\u6027\u4f4d\u76f8\u632f\u52d5\u5b50\u3092\u9078\u629e\u7684\u306b\u914d\u7f6e\u3057\u305f\u8907\u96d1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u632f\u52d5\u73fe\u8c61,
            \u65e5\u672c\u7269\u7406\u5b66\u4f1a 2013\u5e74\u79cb\u5b63\u5927\u4f1a<\/b> (\u5fb3\u5cf6\u5927\u5b66, 9\u670825-28\u65e5), \u6982\u8981\u96c6, p. 284, \u30dd\u30b9\u30bf\u30fc\u767a\u8868, no. 28aPS-55, 9\u670828\u65e5 (2013)<\/li>\n\n\n\n
          102. \u5360\u90e8 \u5343\u7531, \u7530\u4e2d \u525b\u5e73, \u4ed66\u540d,
            \u30ef\u30af\u30c1\u30f3\u63a5\u7a2e\u306e\u4e0d\u5747\u4e00\u6027\u3092\u8003\u616e\u3057\u305f\u98a8\u3057\u3093\u6d41\u884c\u306e\u6570\u7406\u30e2\u30c7\u30eb,
            \u65e5\u672c\u7269\u7406\u5b66\u4f1a 2013\u5e74\u79cb\u5b63\u5927\u4f1a<\/b> (\u5fb3\u5cf6\u5927\u5b66, 9\u670825-28\u65e5), \u6982\u8981\u96c6, p. 281, \u30dd\u30b9\u30bf\u30fc\u767a\u8868, no. 28aPS-36, 9\u670828\u65e5 (2013)<\/li>\n\n\n\n
          103. \u7af9\u5185 \u5927\u6a39, \u7530\u4e2d \u525b\u5e73, \u85e4\u6c5f \u907c, \u5408\u539f \u4e00\u5e78, \u9234\u6728 \u79c0\u5e78,
            \u610f\u898b\u5f62\u6210\u30e2\u30c7\u30eb\u306b\u304a\u3051\u308b\u4e00\u6975\u96c6\u4e2d\u73fe\u8c61\u3068\u4e2d\u7acb\u8005\u306e\u5f71\u97ff,
            \u65e5\u672c\u6570\u7406\u751f\u7269\u5b66\u4f1a\u7b2c23\u56de\u5e74\u4f1a<\/b> (\u9759\u5ca1\u5927\u5b66, 9\u670811-13\u65e5), \u8b1b\u6f14\u8981\u65e8\u96c6, p. 177, \u30dd\u30b9\u30bf\u30fc\u767a\u8868, P-18, 9\u670812\u65e5 (2013)<\/li>\n\n\n\n
          104. \u5360\u90e8 \u5343\u7531, \u7530\u4e2d \u525b\u5e73, \u85e4\u539f \u76f4\u54c9, A. Sonawane, \u5e73\u7530 \u7965\u4eba, \u5408\u539f \u4e00\u5e78,
            \u4eba\u306e\u79fb\u52d5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u611f\u67d3\u75c7\u4f1d\u64ad\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3,
            \u65e5\u672c\u6570\u7406\u751f\u7269\u5b66\u4f1a\u7b2c23\u56de\u5e74\u4f1a<\/b> (\u9759\u5ca1\u5927\u5b66, 9\u670811-13\u65e5), \u8b1b\u6f14\u8981\u65e8\u96c6, p. 49, \u53e3\u982d\u767a\u8868, 9\u670811\u65e5 (2013)<\/li>\n\n\n\n
          105. \u897f\u5ddd \u529f, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
            \u5927\u57df\u7d50\u5408\u632f\u52d5\u5b50\u7cfb\u306b\u304a\u3051\u308b\u63fa\u3089\u304e\u306e\u975e\u6a19\u6e96\u7684\u306a\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u5247,
            \u65e5\u672c\u7269\u7406\u5b66\u4f1a 2013\u5e74\u6625\u5b63\u5927\u4f1a<\/b> (\u5e83\u5cf6\u5927\u5b66, 3\u670826-29\u65e5), \u53e3\u982d\u767a\u8868, 27pXM-6, 3\u670827\u65e5 (2013)<\/li>\n\n\n\n
          106. \u68ee\u91ce \u4f73\u751f, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
            \u6d3b\u6027\u30fb\u4e0d\u6d3b\u6027\u4f4d\u76f8\u632f\u52d5\u5b50\u306e\u8907\u96d1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u632f\u52d5\u73fe\u8c61\u306e\u6b21\u6570\u4f9d\u5b58\u6027,
            \u65e5\u672c\u7269\u7406\u5b66\u4f1a 2012\u5e74\u79cb\u5b63\u5927\u4f1a<\/b> (\u6a2a\u6d5c\u56fd\u7acb\u5927\u5b66, 9\u670818-21\u65e5), \u53e3\u982d\u767a\u8868, 21aAE-10, 9\u670818\u65e5 (2012)<\/li>\n\n\n\n
          107. \u7530\u4e2d \u525b\u5e73, \u68ee\u91ce \u4f73\u751f, \u5408\u539f \u4e00\u5e78,
            \u751f\u547d\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u52d5\u7684\u30ed\u30d0\u30b9\u30c8\u6027\u306e\u6570\u7406\u7684\u89e3\u6790,
            \u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u7b2c50\u56de\u5e74\u4f1a<\/b> (\u540d\u53e4\u5c4b\u5927\u5b66, 9\u670822-24\u65e5), \u4e88\u7a3f\u96c6, 1SC-04, \u53e3\u982d\u767a\u8868, 9\u670822\u65e5 (2012)<\/li>\n\n\n\n
          108. \u7530\u4e2d \u525b\u5e73, \u5360\u90e8 \u5343\u7531, \u5408\u539f \u4e00\u5e78,
            \u74b0\u5883\u4e0d\u5747\u4e00\u6027\u3092\u8003\u616e\u3057\u305f\u30e1\u30bf\u30dd\u30d4\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u611f\u67d3\u75c7\u4f1d\u64ad,
            \u65e5\u672c\u6570\u7406\u751f\u7269\u5b66\u4f1a\u7b2c22\u56de\u5927\u4f1a<\/b> (\u5ca1\u5c71\u5927\u5b66, 9\u670810-12\u65e5), \u53e3\u982d\u767a\u8868, 9\u670811\u65e5 (2012)<\/li>\n\n\n\n
          109. \u7530\u4e2d \u525b\u5e73,
            \u632f\u52d5\u5b50\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u9811\u5065\u6027\u3068\u76f8\u8ee2\u79fb,
            \u6771\u5317\u5927\u5b66CMRU\u7814\u7a76\u4f1a\u300c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u304b\u3089\u898b\u308b\u751f\u547d\u300d<\/b> (\u6771\u5317\u5927\u5b66, 12\u670821-23\u65e5), \u62db\u5f85\u8b1b\u6f14, 12\u670822\u65e5 (2011)<\/li>\n\n\n\n
          110. \u68ee\u91ce \u4f73\u751f, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
            \u7d50\u5408\u632f\u52d5\u5b50\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u5927\u57df\u7684\u632f\u52d5\u306e\u56de\u5fa9\u306b\u3064\u3044\u3066,
            \u65e5\u672c\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5927\u4f1a<\/b> (\u5bcc\u5c71\u5927\u5b66, 9\u670821-24\u65e5), \u53e3\u982d\u767a\u8868, 9\u670823\u65e5 (2011)<\/li>\n\n\n\n
          111. \u68ee\u91ce \u4f73\u751f, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
            \u751f\u4f53\u632f\u52d5\u5b50\u7cfb\u306e\u632f\u52d5\u6d3b\u52d5\u56de\u5fa9\u306b\u95a2\u3059\u308b\u89e3\u6790,
            \u65e5\u672c\u6570\u7406\u751f\u7269\u5b66\u4f1a\u7b2c21\u56de\u5927\u4f1a<\/b> (\u660e\u6cbb\u5927\u5b66, 9\u670813-15\u65e5), \u30dd\u30b9\u30bf\u30fc\u767a\u8868, 9\u670813\u65e5 (2011)<\/li>\n\n\n\n
          112. \u68ee\u91ce \u4f73\u751f, \u7530\u4e2d \u525b\u5e73, \u5408\u539f \u4e00\u5e78,
            \u5c64\u69cb\u9020\u3092\u6301\u3064\u632f\u52d5\u5b50\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u4e0a\u3067\u306e\u30a8\u30a4\u30b8\u30f3\u30b0\u8ee2\u79fb,
            \u65e5\u672c\u7269\u7406\u5b66\u4f1a \u7b2c66\u56de\u5e74\u6b21\u5927\u4f1a<\/b> (\u65b0\u6f5f\u5927\u5b66, 3\u670825-28\u65e5), \u53e3\u982d\u767a\u8868, 3\u670825\u65e5 (2011)<\/li>\n\n\n\n
          113. \u7530\u4e2d \u525b\u5e73
            \u5faa\u74b0\u6027\u30c7\u30fc\u30bf\u306e\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0,
            \u6771\u5317\u5927\u5b66\u96fb\u6c17\u901a\u4fe1\u7814\u7a76\u6240\u5171\u540c\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u7814\u7a76\u7814\u7a76\u4f1a<\/b>, \u8907\u7d20\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b9f\u7528\u5316 (\u6771\u5317\u5927\u5b66, 12\u670821-22\u65e5), \u53e3\u982d\u767a\u8868,12\u670821\u65e5 (2010)<\/li>\n\n\n\n
          114. \u7530\u4e2d \u525b\u5e73,
            Nonlinear Information Processing with Complex-Valued Neural Networks,
            \u7814\u7a76\u96c6\u4f1a\u300c\u8907\u7d20\u529b\u5b66\u7cfb\u3068\u305d\u306e\u95a2\u9023\u5206\u91ce\u306e\u7dcf\u5408\u7684\u7814\u7a76\u300d<\/b>\u3000(\u4eac\u90fd\u5927\u5b66\u6570\u7406\u89e3\u6790\u7814\u7a76\u6240, 12\u67086-10\u65e5), \u53e3\u982d\u767a\u8868, 12\u67086\u65e5 (2010)<\/li>\n\n\n\n
          115. \u7530\u4e2d \u525b\u5e73
            \u611f\u67d3\u75c7\u30e2\u30c7\u30eb\u3068\u5b63\u7bc0\u5909\u52d5,
            Kagoshima Workshop on Nonlinear and Nonequilibrium Dynamics<\/b> (\u9e7f\u5150\u5cf6\u5927\u5b66, 10\u670815-17\u65e5), \u53e3\u982d\u767a\u8868, 10\u670816\u65e5 (2010)<\/li>\n\n\n\n
          116. \u7530\u4e2d \u525b\u5e73
            \u9ad8\u6b21\u5143\u8907\u7d20\u529b\u5b66\u7cfb\u3068\u60c5\u5831\u51e6\u7406,
            \u529b\u5b66\u7cfb\u7814\u7a76\u96c6\u4f1a\u300c\u7406\u8ad6\u304b\u3089\u5fdc\u7528\u3078, \u5fdc\u7528\u304b\u3089\u7406\u8ad6\u3078\u300d<\/b> (\u4eac\u90fd\u5927\u5b66\u6570\u7406\u89e3\u6790\u7814\u7a76\u6240, 9\u670827-30\u65e5), \u62db\u5f85\u8b1b\u6f14, 9\u670830\u65e5 (2010)<\/li>\n\n\n\n
          117. \u7530\u4e2d \u525b\u5e73
            \u8907\u7d20\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u308b\u591a\u968e\u8abf\u753b\u50cf\u5fa9\u5143,
            \u6771\u5317\u5927\u5b66\u96fb\u6c17\u901a\u4fe1\u7814\u7a76\u6240\u5171\u540c\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u7814\u7a76\u7814\u7a76\u4f1a<\/b> \u8907\u7d20\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u5b9f\u7528\u5316 (\u6771\u5317\u5927\u5b66, 12\u670815-16\u65e5), \u53e3\u982d\u767a\u8868, 12\u670815\u65e5 (2009)<\/li>\n\n\n\n
          118. \u7530\u4e2d \u525b\u5e73,
            \u6570\u7406\u30e2\u30c7\u30eb\u304c\u62d3\u304f\u65b0\u3057\u3044\u764c\u6cbb\u7642,
            \u7b2c16\u56de\u79d1\u5b66\u6280\u8853\u4ea4\u6d41\u30d5\u30a9\u30fc\u30e9\u30e0\u300c\u8907\u96d1\u7cfb\u79d1\u5b66\u6280\u8853\u300d<\/b> (\u6771\u4eac\u5927\u5b66, 9\u67087\u65e5), \u62db\u5f85\u8b1b\u6f14 (2009)<\/li>\n\n\n\n
          119. \u7530\u4e2d \u525b\u5e73,
            \u524d\u7acb\u817a\u764c\u306e\u9593\u6b20\u6cbb\u7642\u306e\u6570\u7406\u30e2\u30c7\u30eb\u3068\u975e\u7dda\u5f62\u73fe\u8c61,
            \u9e7f\u5150\u5cf6\u975e\u7dda\u5f62\u7269\u7406\u30bb\u30df\u30ca\u30fc<\/b> (\u9e7f\u5150\u5cf6\u5927\u5b66), \u53e3\u982d\u767a\u8868, 3\u670816\u65e5 (2009)<\/li>\n\n\n\n
          120. \u5ca1\u7530 \u7950\u5178, \u7530\u4e2d \u525b\u5e73, \u6cb3\u91ce \u5d07, \u5408\u539f \u4e00\u5e78,
            1\u5468\u671f\u30682\u5468\u671f\u306e\u30ea\u30df\u30c3\u30c8\u30b5\u30a4\u30af\u30eb\u632f\u52d5\u5b50\u306e\u7d50\u5408\u7cfb\u306b\u304a\u3051\u308b\u500b\u6570\u6bd4\u306e\u5f71\u97ff\u306b\u95a2\u3059\u308b\u6570\u5024\u7684\u89e3\u6790,
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a<\/b>, vol. 109, no. 269 (NLP2009-118), pp.203-208 (2009)<\/li>\n\n\n\n
          121. \u7530\u4e2d \u525b\u5e73, \u8fbb \u7e41\u6a39, \u5408\u539f \u4e00\u5e78,
            \u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u529b\u5b66\u7cfb\u306b\u304a\u3051\u308b\u30b0\u30ec\u30a4\u30b8\u30f3\u30b0\u73fe\u8c61\u8a98\u5c0e\u578b\u30af\u30e9\u30a4\u30b7\u30b9,
            NOLTA \u79cb\u306e\u5b66\u6821<\/b> (\u548c\u6b4c\u5c71, 10\u670824-26\u65e5), \u53e3\u982d\u767a\u8868 (2008)<\/li>\n\n\n\n
          122. \u7530\u4e2d \u525b\u5e73,\u5408\u539f \u4e00\u5e78,
            \u975e\u7dda\u5f62\u591a\u5024\u95a2\u6570\u3092\u7528\u3044\u305f\u8907\u7d20\u9023\u60f3\u8a18\u61b6\u30e2\u30c7\u30eb,
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a<\/b>, vol. 107, no. 478, pp. 13-18 (2008)<\/li>\n\n\n\n
          123. \u5cf6\u7530 \u5c1a, \u4ed69\u540d,
            \u524d\u7acb\u817a\u764c\u306e\u9593\u6b20\u7684\u30db\u30eb\u30e2\u30f3\u7642\u6cd5\u306e\u6570\u7406\u30e2\u30c7\u30eb\u306b\u3088\u308b\u89e3\u6790,
            \u7b2c94\u56de\u65e5\u672c\u6ccc\u5c3f\u5668\u79d1\u5b66\u4f1a\u7dcf\u4f1a<\/b>, \u30dd\u30b9\u30bf\u30fc\u767a\u8868, MP-533 (2006)<\/li>\n\n\n\n
          124. \u7530\u4e2d \u525b\u5e73,\u5408\u539f \u4e00\u5e78,
            2\u6b21\u5143\u5199\u50cf\u3092\u7528\u3044\u305f\u30d0\u30fc\u30b9\u30c8\u30bb\u30eb\u30e2\u30c7\u30eb\u306e\u89e3\u6790,
            \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a<\/b>, vol. 103, no. 334, pp. 73-78 (2003)<\/li>\n<\/ol>\n\n\n\n
            <\/div>\n\n\n\n
            \n\n\n\n

            \u22c4Patent<\/h2>\n\n\n\n
              \n
            1. \u51fa\u9858\u756a\u53f7\uff1a\u7279\u98582026-025554\uff0c\u767a\u660e\u8005\uff1a\u7802\u7530 \u54f2\uff0c\u4f0a\u85e4 \u7d50\u4eba\uff0c\u6d45\u4e95 \u54f2\u4e5f\uff0c\u7530\u4e2d \u525b\u5e73\uff0c\u5185\u7530 \u6df3\u53f2\uff0c\u767a\u660e\u306e\u540d\u79f0\uff1a\u5e83\u5e2f\u57df\u4fe1\u53f7\u6e2c\u5b9a\u5668\uff0c\u51fa\u9858\u4eba\uff1a\u91d1\u6ca2\u5927\u5b66\uff0c\u5317\u6d77\u9053\u5927\u5b66\uff0c\u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66\uff0c\u57fc\u7389\u5927\u5b66\uff0c\u51fa\u9858\u65e5\uff1a2026\u5e742\u670819\u65e5<\/li>\n\n\n\n
            2. \u51fa\u9858\u756a\u53f7\uff1a\u7279\u98582025-30184, \u767a\u660e\u8005\uff1a\u7802\u7530 \u54f2\uff0c\u4f0a\u85e4 \u7d50\u4eba\uff0c\u6d45\u4e95 \u54f2\u4e5f\uff0c\u7530\u4e2d \u525b\u5e73\uff0c\u5185\u7530 \u6df3\u53f2\uff0c\u767a\u660e\u306e\u540d\u79f0\uff1a\u5e83\u5e2f\u57df\u4fe1\u53f7\u6e2c\u5b9a\u5668\uff0c\u51fa\u9858\u4eba\uff1a\u91d1\u6ca2\u5927\u5b66\uff0c\u5317\u6d77\u9053\u5927\u5b66\uff0c\u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66\uff0c\u57fc\u7389\u5927\u5b66\uff0c\u51fa\u9858\u65e5\uff1a2025\u5e742\u670827\u65e5<\/li>\n\n\n\n
            3. \u51fa\u9858\u756a\u53f7\uff1a\u7279\u98582021-206366\uff0c\u7279\u958b2023-091563\uff0c\u767a\u660e\u8005\uff1a\u5ee3\u702c \u660e\uff0c\u7530\u4e2d \u525b\u5e73\uff0c\u4e2d\u6839 \u4e86\u660c\uff0c\u52a0\u85e4 \u51c6\u4e5f\uff0c\u767a\u660e\u306e\u540d\u79f0\uff1a\u60c5\u5831\u51e6\u7406\u30b7\u30b9\u30c6\u30e0\u3001\u60c5\u5831\u51e6\u7406\u65b9\u6cd5\u53ca\u3073\u30d7\u30ed\u30b0\u30e9\u30e0\uff0c\u51fa\u9858\u4eba\uff1a\u56fd\u7acb\u5927\u5b66\u6cd5\u4eba \u6771\u4eac\u5927\u5b66\uff0c\u51fa\u9858\u65e5\uff1a2021\u5e7412\u670820\u65e5<\/li>\n\n\n\n
            4. \u51fa\u9858\u756a\u53f7\uff1a\u7279\u98582018-015957\uff0c\u7279\u958b2019-134100\uff0c\u767a\u660e\u8005\uff1a\u5ee3\u702c \u660e\uff0c\u7530\u4e2d \u525b\u5e73\uff0c\u4e2d\u6839 \u4e86\u660c\uff0c\u767a\u660e\u306e\u540d\u79f0\uff1a\u60c5\u5831\u51e6\u7406\u30c7\u30d0\u30a4\u30b9\uff0c\u51fa\u9858\u4eba\uff1a\u56fd\u7acb\u5927\u5b66\u6cd5\u4eba \u6771\u4eac\u5927\u5b66\uff0c\u51fa\u9858\u65e5\uff1a2018\u5e741\u670831\u65e5<\/li>\n\n\n\n
            5. \u51fa\u9858\u756a\u53f7\uff1a\u7279\u98582013-169914\uff0c\u7279\u958b2015-038708\uff0c\u767a\u660e\u8005\uff1a\u5408\u539f \u4e00\u5e78\uff0c\u7530\u4e2d \u525b\u5e73\uff0c\u5360\u90e8\u5343\u7531\uff0c\u767a\u660e\u306e\u540d\u79f0\uff1a\u611f\u67d3\u75c7\u5bfe\u7b56\u30d7\u30ed\u30b0\u30e9\u30e0\uff0c\u611f\u67d3\u75c7\u5bfe\u7b56\u88c5\u7f6e\u304a\u3088\u3073\u611f\u67d3\u75c7\u5bfe\u7b56\u65b9\u6cd5\uff0c\u51fa\u9858\u4eba\uff1a\u56fd\u7acb\u5927\u5b66\u6cd5\u4eba \u6771\u4eac\u5927\u5b66\uff0c\u51fa\u9858\u65e5\uff1a2015\u5e748\u670819\u65e5<\/li>\n<\/ol>\n\n\n\n
              <\/div>\n\n\n\n
              \n\n\n\n

              \u22c4Media<\/h2>\n\n\n\n
                \n
              1. \u65e5\u7d4c\u30af\u30ed\u30b9\u30c6\u30c3\u30af\uff0f\u65e5\u7d4c\u30a8\u30ec\u30af\u30c8\u30ed\u30cb\u30af\u30b9\uff0c\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306f\u30c7\u30fc\u30bf\u306e\u7279\u5fb4\u898b\u3064\u3051\u308b\u201c\u866b\u773c\u93e1\u201d\uff0c2024\u5e7412\u670818\u65e5<\/li>\n\n\n\n
              2. The 70th Japan Society of Applied Physics Spring Meeting 2023 Highlighted Presentations Press Release, “Demonstrating the potential of spin-wave-generating devices for high-performance physical reservoir computing<\/a>,” Apr. 18, 2023<\/li>\n\n\n\n
              3. The Science News: “Group from the University of Tokyo improves time series prediction performance in artificial neural networks<\/a>,” Sep. 14, 2022\uff0e<\/li>\n\n\n\n
              4. UTokyo Research “The importance of non-hub elements”<\/a> 2012\u5e744\u670819\u65e5<\/li>\n\n\n\n
              5. \u65e5\u7d4c\u7523\u696d\u65b0\u805e \u300c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u4e2d\u7d99\u70b9\u2212\u201c\u3064\u306a\u304c\u308a\u5c11\u306a\u3044\u201d\u91cd\u8981\u300d2012\u5e742\u67086\u65e5<\/li>\n\n\n\n
              6. \u65e5\u520a\u5de5\u696d\u65b0\u805e \u300c\u6545\u969c\u8010\u6027\u3067\u57fa\u790e\u7406\u8ad6\u300d 2012\u5e742\u67086\u65e5<\/li>\n\n\n\n
              7. \u8aad\u58f2\u65b0\u805e \u300c\u611f\u67d31\u5272\u6e1b\u21d2\u30ef\u30af\u30c1\u30f31600\u4e07\u4eba\u5206\u306e\u52b9\u679c\u300d 2009\u5e749\u670824\u65e5<\/li>\n<\/ol>\n\n\n\n
                \n\n\n\n

                \u22c4Others<\/h2>\n\n\n\n
                  \n
                1. \u7530\u4e2d \u525b\u5e73
                  \u7269\u7406\u30ea\u30b6\u30d0\u30fc\u306b\u3088\u308b\u9ad8\u5ea6\u5316\u30fb\u52b9\u7387\u5316<\/a>
                  \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u6280\u8853\u30bb\u30df\u30ca\u30fc\uff08\u8b1b\u5e2b\uff1a\u6cb3\u5408\u3001\u9999\u53d6\u3001\u7530\u4e2d\uff09, 2\u67083\u65e5 (2025)<\/li>\n\n\n\n
                2. \u7530\u4e2d \u525b\u5e73
                  \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u6280\u8853\u306e\u9b45\u529b<\/a>
                  2024\u5e74\u5ea6\u672a\u8e0f\u30bf\u30fc\u30b2\u30c3\u30c8\u4e8b\u696d \u6709\u8b58\u8005\u8b1b\u6f14\uff08\u8b1b\u5e2b\uff1a\u9999\u53d6\u3001\u7530\u4e2d\uff09, 2\u670827\u65e5 (2024)<\/li>\n\n\n\n
                3. \u7530\u4e2d \u525b\u5e73
                  \u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u6b21\u4e16\u4ee3\u306e\u9ad8\u901f\u6a5f\u68b0\u5b66\u7fd2<\/a>
                  \u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u6280\u8853\u30bb\u30df\u30ca\u30fc\uff08\u8b1b\u5e2b\uff1a\u9999\u53d6\u3001\u7530\u4e2d\uff09, 7\u670821\u65e5 (2023)<\/li>\n\n\n\n
                4. G. Tanaka,
                  Metapopulation Epidemic Models,
                  Summer boot camp of infectious disease modeling<\/b> (organized by Prof. Nishiura), lecture, Aug. 9 (2019)<\/li>\n\n\n\n
                5. G. Tanaka,
                  Metapopulation Epidemic Models,
                  Summer boot camp of infectious disease modeling<\/b> (organized by Prof. Nishiura), lecture, Aug. 9 (2018)<\/li>\n\n\n\n
                6. G. Tanaka,
                  Metapopulation Epidemic Models,
                  Summer boot camp of infectious disease modeling<\/b> (organized by Prof. Nishiura), lecture, Aug. 9 (2017)<\/li>\n\n\n\n
                7. G. Tanaka,
                  Metapopulation Epidemic Models,
                  Summer boot camp of infectious disease modeling<\/b> (organized by Prof. Nishiura), lecture, Aug. 9 (2016)<\/li>\n\n\n\n
                8. G. Tanaka,
                  Network Robustness Analysis Using Bifurcating Units,
                  School of Science, Beijing Jiaotong University<\/b> (hosted by Prof. Hongjun Cao), Invited talk, Apr. 21 (2016)<\/li>\n\n\n\n
                9. \u7530\u4e2d \u525b\u5e73,
                  \u30e1\u30bf\u500b\u4f53\u7fa4\u306e\u57fa\u790e\u7684\u306a\u69cb\u9020\u3068\u8003\u3048\u65b9,
                  \u611f\u67d3\u75c7\u30b5\u30de\u30fc\u30b9\u30af\u30fc\u30eb<\/b>, \u8b1b\u7fa9, 8\u67089\u65e5 (2015)<\/li>\n\n\n\n
                10. \u7530\u4e2d \u525b\u5e73,
                  \u30e1\u30bf\u500b\u4f53\u7fa4\u306e\u57fa\u790e\u7684\u306a\u69cb\u9020\u3068\u8003\u3048\u65b9,
                  \u611f\u67d3\u75c7\u30b5\u30de\u30fc\u30b9\u30af\u30fc\u30eb<\/strong>, \u8b1b\u7fa9, 8\u67089\u65e5 (2014)<\/li>\n\n\n\n
                11. \u7530\u4e2d \u525b\u5e73,
                  \u8907\u96d1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u4e0a\u306e\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306e\u9811\u5065\u6027,
                  \u5927\u962a\u5e9c\u7acb\u5927\u5b66\u975e\u7dda\u5f62\u7269\u7406\u5b66\u30bb\u30df\u30ca\u30fc<\/b>, Invited talk, Mar. 5th (2012)<\/li>\n\n\n\n
                12. \u7530\u4e2d \u525b\u5e73,
                  \u8907\u96d1\u7cfb\u52d5\u529b\u5b66\u3068\u305d\u306e\u5fdc\u7528,
                  \u6570\u7406\u52a9\u6559\u306e\u4f1a<\/b>, Invited talk, Oct. 6th (2011)<\/li>\n\n\n\n
                13. G. Tanaka,
                  Dynamical Robustness in Complex Oscillator Networks,
                  Seminar at Prof. Miguel A. F. Sanjuan group<\/b>, Universidad Rey Juan Carlos, Madrid\/Spain, Invited talk, Sep. 15 (2011)<\/li>\n\n\n\n
                14. G. Tanaka,
                  Phase Transitions in Complex Networks of Activeand Inactive Oscillators,
                  Seminar at Complex Systems Group<\/b>, Universidad Rey Juan Carlos, Madrid\/Spain, Invited talk, Sep. 9 (2011)<\/li>\n\n\n\n
                15. G. Tanaka,
                  Bifurcation Analysis on a Hybrid Systems Model of Intermittent Hormonal Therapy for Prostate Cancer,
                  Seminar at Prof. Michael Small group<\/b>, Hongkong Polytechnique University, HongKong, Oral, Jun. 4th (2008)<\/li>\n\n\n\n
                16. G. Tanaka,
                  Collective Skipping: Aperiodic Phase Locking in Ensembles of Coupled Bursting Oscillators,
                  Seminar at Prof. Zhu-Jun Jing group<\/b>, Chinese Academy of Science, China, Oral, Aug. 28th (2006)<\/li>\n\n\n\n
                17. G. Tanaka,
                  Collective Skipping: Aperiodic Phase Locking in Ensembles of Coupled Bursting Oscillators,
                  Seminar at Prof. Miguel A. F. Sanjuan group<\/b>, Universidad Rey Juan Carlos, Spain, Invited talk, Jul. 10 (2006)<\/li>\n\n\n\n
                18. G. Tanaka,
                  Local and Global Bifurcations in a Mathematical Model of Intermittent Androgen Suppression Therapy for Prostate Cancer,
                  Seminar at Prof. Mikhailov group<\/b>, Flitz-Haber-Institute, Germany, Oral, Jun. 22 (2006)<\/li>\n<\/ol>\n\n\n\n
                  \n\n\n\n

                  <\/p>\n","protected":false},"excerpt":{"rendered":"

                  [Journal papers \/ \u30b8\u30e3\u30fc\u30ca\u30eb\u8ad6\u6587][Conference proceedings \/ \u4f1a\u8b70\u8ad6\u6587][Books and tutorials \/ \u66f8\u7c4d\u30fb\u89e3\u8aac][International conferences \/ \u56fd\u969b\u4f1a\u8b70\u767a\u8868][National conferences and meeting \/ \u56fd\u5185\u4f1a\u8b70\u30fb\u7814\u7a76\u4f1a\u767a\u8868][Patent \/ \u7279\u8a31][Media \/ \u30e1\u30c7\u30a3\u30a2][Others \/ \u305d\u306e\u4ed6] \u22c4Journal papers (referred) \u22c4Conference proceedings (referred) \u22c4Books and tutorials \u22c4International conferences \u22c4National conferences and meetings \u22c4Patent \u22c4Media \u22c4Others<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_locale":"en_US","_original_post":"http:\/\/dyn.web.nitech.ac.jp\/?page_id=64","footnotes":""},"class_list":["post-156","page","type-page","status-publish","hentry","en-US"],"featured_image_src":null,"_links":{"self":[{"href":"https:\/\/dyn.web.nitech.ac.jp\/wp-json\/wp\/v2\/pages\/156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dyn.web.nitech.ac.jp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dyn.web.nitech.ac.jp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dyn.web.nitech.ac.jp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dyn.web.nitech.ac.jp\/wp-json\/wp\/v2\/comments?post=156"}],"version-history":[{"count":129,"href":"https:\/\/dyn.web.nitech.ac.jp\/wp-json\/wp\/v2\/pages\/156\/revisions"}],"predecessor-version":[{"id":1180,"href":"https:\/\/dyn.web.nitech.ac.jp\/wp-json\/wp\/v2\/pages\/156\/revisions\/1180"}],"wp:attachment":[{"href":"https:\/\/dyn.web.nitech.ac.jp\/wp-json\/wp\/v2\/media?parent=156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}