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織間 健守 Takemori Orima

国際会議論文（査読付き）

  1. Go Ishii, Yoshihiko Horio, and Takemori Orima, "Effect of memory capacity characteristics on time-series prediction in reservoir neural network consisting of neurons with local temporal history ,"in Proceedings of The 10th Anniversary Korea-Japan Joint Workshop on Complex Communication Sciences, p. BP-6 (3 pages), Beppu, Ohita, Japan, January 29-31, 2024.
  2. Takemori Orima, Takeru Tsuji, Yoshihiko Horio, Satoshi Moriya, and Shigeo Sato, "Memory state evaluation of spatio-temporal contextual learning memory network based on output spike rate ,"in Proceedings of International Symposium on Nonlinear Theory and Its Applications, pp. 378-381, Catania, Italy, September 26-29, 2023.
  3. Takemori Orima, Takeru Tsuji, and Yoshihiko Horio, "An extended spatiotemporal contextual learning and memory network model for hardware implementation," in Proceedings of International Joint Conference on Neural Networks, Special INNS Workshop: International Neural Network Society Workshop on Deep Learning Innovations and Applications, paper no. 1570883985 (10 pages), Gold Coast, Queensland, Australia, June 18-23, 2023.
  4. Takemori Orima and Yoshihiko Horio, "Preliminary experimental results of chaotic neural network reservoir using improved cyclic neuron circuit for stacked 3D integrated circuit," in Proc. The 2021 Nonlinear Science Workshop, p. NLSW-9, Online, December 6-8, 2021.
  5. Yoshihiko Horio, Takemori Orima, Koji Kiyoyama, and Mitsumasa Koyanagi, "Implementation of a chaotic neural network reservoir on a TSV/μ bump stacked 3D cyclic neural network integrated circuit," in Proc. 2021 IEEE International 3D System Integration Conference, paper number 5b (4 pages), Online, November 16-19, 2021. DOI: 10.1109/3DIC52383.2021.9687614
  6. Koji Kiyoyama, Yoshihiko Horio, Takafumi Fukushima, Hiroyuki Hashimoto, Takemori Orima, and Mitsumasa Koyanagi, "Design for 3-D stacked neural network circuit with cyclic analog computing," in Proc. 2021 IEEE International 3D System Integration Conference, paper number 5a (4 pages), Online, November 16-19, 2021. DOI: 10.1109/3DIC52383.2021.9687608
  7. Keisuke Fukuda, Yoshihiko Horio, Takemori Orima, and Koji Kiyoyama, "Cyclic reservoir neural network circuit for 3D IC implementation," in Proceedings of International Symposium on Nonlinear Theory and Its Applications, pp. 81-84, online, Nov. 16-19, 2020.
  8. Takemori Orima, and Yoshihiko Horio, "An improved formulation of feature values in passive reflectionless transmission-line model based on the cochlea, " in Proceedings of International Symposium on Nonlinear Theory and Its Applications, pp. 128-131, Dec. 4-7, 2017.
  9. Takemori Orima, and Yoshihiko Horio, "An improved parameter value optimization technique for the reflectionless transmission-line model of the cochlea," in Proceedings of the 2017 International Conference on Artificial Life and Robotics, pp. 136-139, Jan. 20, 2017.
  10. Takemori Orima, Yoshihiko Horio, and Tohru Kohda, "A parameter value optimization technique for a reflectionless transmission-line model of the cochlea, " in Proceedings of International Symposium on Nonlinear Theory and Its Applications, pp. 503-506, Dec. 2015.