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    • Hippocampal formation-inspired probabilistic generative model

      Taniguchi, A., Fukawa, A., & Yamakawa,H

      Neural Networks: The Official Journal of the International Neural Network Society.(2022)

    • A whole brain probabilistic generative model: Toward realizingcognitive architectures for developmental robots

      Taniguchi, T., Yamakawa, H., Nagai, T., Doya, K., Sakagami, M., Suzuki, M., Nakamura, T., & Taniguchi, A

      Neural Networks: The Official Journal of the International Neural Network Society.(2022)

    • The great crossword: Potential for rapid progress in understanding the function of the entire brain

      Yoshimasa Tawatsuji , Ayako Fukawa , Naoya Arakawa , Koichi Takahashi , Hiroshi Yamakawa

      Neuro 2022

    • How to handle heterogeneous tasks with single brain: Perspective that the artificial general intelligence (AGI) is not so far away

      Hiroshi Yamakawa

      Neuro 2022

    • Describe the comprehensive neural circuitry around the amygdaloid complex as data

      Tatsuya Miyamoto1, Yoshimasa Tawatsuji, Hiroshi Yamakawa

      Neuro 2022

    • 解剖学的構造から見える脳の計算機能

      日本神経回路学会誌, Vol.28, No.4

    • 上位オントロジーの主要概念の捉え方の整理

      田和辻可昌, 荒川直哉, 山川宏

      人工知能学会SWO研究会

    • The whole brain architecture approach: Accelerating the developmentof artificial general intelligence by referring to the brain

      Hiroshi Yamakawa

      Neural Networks (2021)

    • Describe the comprehensive neural circuitry around the cerebellum as data

      山川宏,松尾豊

      日本神経科学大会

    • Comprehensive eye-movement circuits of brainstem

      田和辻可昌,山川宏

      日本神経科学大会