Hayashi Ryusuke

Affiliation and department：
Homepage URL (1)： http://kaken.nii.ac.jp/ja/r/80444470

Research field (1)： Neuroscience - general

Research keywords (6)：視覚 , 包括脳ネットワーク , 脳情報の解読と制御 , 神経科学 , 認知科学 , 実験系心理学

Research theme for competitive and other funds (9)：

2020 - 2022 顔・身体表現の情報工学に基づくトランスカルチャー比較
2019 - 2022 Constructive approach to investigate the emergent mechanisms of visual and sensory function
2018 - 2020 A study on neural representation of cognitive dissonance about Shitsukan using deep neural network
2018 - 2020 深層学習による顔・身体画像表現の異文化差の解明
2016 - 2019 Brain machine interface based on artificial intelligence integrating visual and semantic processing

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Papers (34)：

Ryusuke Hayashi, Shizuo Kaji, Yukiko Matsumoto, Satoshi Nishida, Shinji Nishimoto, Hidehiko Takahashi. Homogenization of word relationships in schizophrenia: Topological analysis of cortical semantic representations. Psychiatry and Clinical Neurosciences. 2024. 78. 11. 687-695
Tomokazu Tsurugizawa, Kazuya Ouchi, Daisuke Yoshimaru, Aya Takemura, Shinya Yamamoto, Ryusuke Hayashi, Noriyuki Higo, Makoto Obara, Yasuko Sugase-Miyamoto. Multi-scale hierarchical brain regions detect individual and inter-species variations of structural connectivity in macaque monkeys and humans. 2024
Xing Liu, Masataka Sawayama, Ryusuke Hayashi, Mete Ozay, Takayuki Okatani, Shin'ya Nishida. Perturbation Tolerance of Deep Neural Networks and Humans in Material Recognition. Journal of Vision. 2018. 18. 10. 756-756
Ryusuke Hayashi, Hiroki Kawata. Image reconstruction from neural activity recorded from monkey inferior temporal cortex using generative adversarial networks. Proceesings of 2018 IEEE International Conference on Systems, Man, and Cybernetics. 2018. 105-109
林隆介. 深層学習を用いた高次視覚機能の理解にむけて. Vision. 2017. 29. 3. 77-85

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MISC (11)：

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Patents (6)：

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Lectures and oral presentations (56)：

GANを用いたサルIT皮質ニューロン活動のデコーディング
(SICEライフエンジニアリング部門シンポジウム 2018)
両眼眼球運動計測システムiRecHS2bについて
(Vision 2018)
画像生成ニューラルネットワークによるサル下側頭葉の神経情報の復号化
(Vision 2018)
視覚情報の階層的な処理とその時間的統合について
(時間学公開学術シンポジウム『心的時間の諸特性とその基礎』-時間はどのようにして体験されているのか?- 2018)
Perturbation Tolerance of Deep Neural Networks and Humans in Material Recognition
(VSS2018 2018)

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Work history (1)：

2016/04 - 現在 National Institute of Advanced Industiral Science and Technology (AIST) Artificial Intelligence Research Institute Senior Researcher

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