研究業績

国際会議

• Yuragi Learning: A Brain-Inspired Decision-Making Framework for Green AI Applications
  Tatsuya Otoshi, Shin'ichi Arakawa, Tetsuya Shimokawa, Toshiyuki Kanoh, Masayuki Murata
  International Joint Conference on Neural Network 2025 Workshop: Green Federated Learning: Toward Sustainable AI for a Decentralized Future(IJCNN), (2025年6月)
  
  
• Power Efficient Edge-Cloud Cooperation by Value-Sensitive Bayesian Attractor Model
  Tatsuya Otoshi, Hideyuki Shimonishi, Tetsuya Shimokawa, Masayuki Murata
  IEEE INFOCOM 2024-IEEE Conference on Computer Communication Workshops (INFOCOM WKSHPS), (2024年3月)
  DOI: 10.1109/INFOCOMWKSHPS61880.2024.10620748
  
  
• Hierarchical Bayesian Attractor Model for Dynamic Task Allocation in Edge-Cloud Computing
  Tatsuya Otoshi, Masayuki Murata, Hideyuki Shimonishi, Tetsuya Shimokawa
  2023 International Conference on Computing, Networking and Communications(ICNC), (2023年2月)
  DOI: 10.1109/ICNC57223.2023.10073977
  
  
• Non-Parametric Decision-Making by Bayesian Attractor Model for Dynamic Slice Selection
  Tatuya Otoshi, Shin'ichi Arakawa, Masayuki Murata, Takeo Hosomi
  2021 IEEE Global Communications Conference (GLOBECOM), (2021年12月)
  DOI: 10.1109/GLOBECOM46510.2021.9685972
  
  
• Flexible Updating of Attractors in Virtual Network Topology Control with Bayesian Attractor Model
  Tatuya Otoshi, Shin'ichi Arakawa, Masayuki Murata, Kai Wang, Takeo Hosomi, Toshiyuki Kanoh
  ICC 2021-IEEE International Conference on Communications, (2021年7月)
  DOI: 10.1109/ICC42927.2021.9500282

論文

• 脳に倣う情報通信：知覚、認知そして意思決定　招待講演
  加納敏行、田谷紀彦、西原康介、Lu Chen
  信学技報 Vol 116 no.180 CC22017-17 pp3-7 (2016年8月)

Book Chapter

• Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems
  (Eds. Masayuki Murata and Kenji Leibnitz), pp.113-134, pp 199-212, pp213-232, Springer, （2021年4月）
  Shin'ichi Arakawa, Tatsuya Otoshi, Toshiyuki Kanoh,
  ISBN:　 981334976X, 9789813349766