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    • Technology Roadmap toward the Completion of Whole-Brain Architecture with BRA-Driven Development

      Hiroshi Yamakawa, Yoshimasa Tawatsuji, Yuta Ashihara, Ayako Fukawa, Naoya Arakawa, Koichi Takahashi, and Yutaka Matsuo

      Cognitive Systems Research, no. 101300 (October 2024)

    • Brain-Consistent Architecture for Imagination

      Hiroshi Yamakawa, Ayako Fukawa, Ikuko Eguchi Yairi, and Yutaka Matsuo

      Frontiers in Systems Neuroscience 18 (2024)

    • Hippocampal Formation-Inspired Global Self-Localization: Quick Recovery from the Kidnapped Robot Problem from an Egocentric Perspective

      Takeshi Nakashima, Shunsuke Otake, Akira Taniguchi, Katsuyoshi Maeyama, Lotfi El Hafi, Tadahiro Taniguchi, and Hiroshi Yamakawa

      Frontiers in Computational Neuroscience 18 (2024).

    • Data for Brain Reference Architecture of TN24 Hippocampal Formation

      Takeshi Nakashima, Akira Taniguchi, Ayako Fukawa, Hiroshi Yamakawa

      1st. Int. Whole Brain Architecture Workshop, vol.1, num.4, WBA-WS-001-04, July 2024.

    • Data for Brain Reference Architecture of NM24 Vestibulo Ocular Reflex

      Nayuta Mizuguchi, Yoshimasa Tawatsuji, Hiroshi Yamakawa

      1st. Int. Whole Brain Architecture Workshop, , vol.1, num.3, WBA-WS-001-03, July 2024.

    • Data for Brain Reference Architecture of YM24Amygdala

      Yohei Maruyama, Tatsuya Miyamoto, Yoshimasa Tawatsuji, Hiroshi Yamakawa

      1st. Int. Whole Brain Architecture Workshop, vol.1, num.2, IWBA-WS-001-02, July 2024.

    • Data for Brain Reference Architecture of YS24 Longitudinally Segmented Distal CA1 and Periphery

      Yudai Suzuki, Yoshiko Honda, Shinya Ohara, Ayako Fukawa, Hiroshi Yamakawa

      1st. Int. Whole Brain Architecture Workshop, vol.1, num.1, WBA-WS-001-01, July 2024.

    • Could humans be “taken by the wayside” and destroyed by advanced AI? Considering competition and safety in AI development

      山川宏

      ABEMAヒルズ 2024年5月25日

    • Reward Function Learning Framework Independent of Text Generator Samples for Reinforcement Learning in Text Generation Tasks

      Joji TOYAMA, Masahiro SUZUKI, Keiichi OCHIAI, and Yutaka MATSUO

      電子情報通信学会和文論文誌D, (2024)

    • Multi-agent symbol emergence and latent representation learning by integration of Gaussian process latent variable models and neural networks

      中村友昭, 鈴木雅大, 谷口彰, 谷口忠大

      日本ロボット学会誌(レター), (2024)