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J-GLOBAL ID：201101087181903320   Update date: Nov. 11, 2024

Nishida Satoshi

ニシダ サトシ | Nishida Satoshi
Affiliation and department：
National Institute of Information and Communications Technology Center for Information and Neural Networks

About National Institute of Information and Communications Technology Center for Information and Neural Networks


Job title： Senior Researcher
Other affiliations (2)：
  • Osaka University  Graduate School of Frontier Biosciences   Guest Associate Professor
  • Hokkaido University  Center for Human Nature, Artificial Intelligence, and Neuroscience   Visiting Associate Professor
Homepage URL  (2)： https://sites.google.com/site/satnishida/ ,  https://sites.google.com/site/satnishida/english-top
Research field  (5)： Intelligent informatics ,  Cognitive neuroscience ,  Experimental psychology ,  Cognitive sciences ,  Neuroscience - general
Research keywords  (16)： Semantic processing ,  Affection ,  Vision ,  Consciousness ,  personality ,  fMRI ,  Neural decoding ,  Artificial intelligence ,  Deep learning ,  Neurophenomenology ,  Attention ,  Visual search ,  Decision Making ,  Working memory ,  Electrophysiology ,  包括脳ネットワーク
Research theme for competitive and other funds  (23)：
  • 2024 - 2027 脳とAIの対照に基づく視覚から言語を生成する個人脳プロセスの理解と模倣
  • 2024 - 2027 Narrative Consciousness Studies: Pioneering a New Framework for Consciousness
  • 2024 - 2027 Visualization of Neural Information Reflecting the Characteristics of Conscious Experience Using Narrative
  • 2024 - 2027 Narrative Consciousness Studies: Pioneering a New Framework for Consciousness
  • 2024 - 2026 脳空間を介してAIの認知的な判断過程を説明可能にする技術
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Papers (30)：
  • Satoshi Nishida. Behavioral and neural evidence for the underestimated attractiveness of faces synthesized using an artificial neural network. Computers in Human Behavior: Artificial Humans. 2024. 100104-100104
  • 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
  • Haruka Kawasaki, Satoshi Nishida, Ichiro Kobayashi. Exploring Hierarchical Changes in Functional Brain Network Hubs Through Brain-Activity Prediction with Convolutional Neural Networks. Proceedings of 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2023. 4740-4745
  • Matsumoto Y, Nishida S, Hayashi R, Son S, Murakami A, Yoshikawa N, Ito H, Oishi N, Masuda N, Murai T, et al. Disorganization of semantic brain networks in schizophrenia revealed by fMRI. Schizophrenia Bulletin. 2022. sbac157
  • Kawasaki H, Nishida S, Kobayashi I. Hierarchical Processing of Visual and Language Information in the Brain. The proceedings of AACL-IJCNLP 2022. 2022. 405-410
ｍore...
MISC (27)：
  • 西田 知史. 脳シミュレータを用いた感性や思考の評価. センサイトWebジャーナル. 2024
  • Satoshi Nishida, Hiro Taiyo Hamada, Takuya Niikawa, Katsunori Miyahara. Neural correlates of phenomenological attitude toward perceptual experience. bioRxiv. 2024. 2024.07.07.602347
  • Jiaxin Wang, Kiichi Kawahata, Antoine Blanc, Naoya Maeda, Shinji Nishimoto, Satoshi Nishida. Asymmetric representation of symmetric semantic information in the human brain. bioRxiv. 2024. 10.1101/2024.02.09.579613
  • Satoshi Nishida. Behavioral and neural evidence for the underestimated attractiveness of faces synthesized using an artificial neural network. bioRxiv. 2023. 2023.02.07.527403
  • 西田知史. AIへの脳融合. NICT NEWS. 2022. 496. 12-13
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Patents (9)：
  • 情報処理装置、情報処理システム、脳活動予測方法、及びプログラム
  • 脳応答空間生成装置、評価装置、及び脳応答空間生成方法
  • 脳活動予測装置、知覚認知内容推定システム、及び脳活動予測方法
  • Material evaluation method and material evaluation device
  • Material evaluation method and material evaluation device
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Books (1)：
  • 少ないデータによるAI・機械学習の進め方と精度向上、説明可能なAIの開発
    技術情報協会 2024 ISBN:9784867980484
Lectures and oral presentations  (182)：
  • Enhancing Emotion Prediction via Self-supervised Learning using Neural Data
    (The 6th International Conference on Biomedical and Health Informatics (ICBHI 2024) 2024)
  • 生成AIとインタビューを用いた顔のリアリティ判断に関わる規範的特徴の探索
    (日本質的心理学会第21回大会 2024)
  • Brain-information based grouping for preference estimation in video
    (ニューロコンピューティング研究会 2024)
  • 生成AIとインタビューを用いた顔のリアリティ判断で着目する特徴の探索
    (ナラティブ意識学ワークショップ「脳・言語・意識」 2024)
  • Emotion Prediction via Transfer Learning with a Self-supervised Model Pretrained on Large-scale Neural Data
    (ナラティブ意識学ワークショップ「脳・言語・意識」 2024)
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Education (2)：
  • 2010 - 2014 Kyoto University Graduate School of Medicine
  • 2008 - 2010 Nara Institute of Science and Technology Graduate School of Information Science
Professional career (1)：
  • PhD (Kyoto University)
Work history (9)：
  • 2024/04 - 現在 Hokkaido University Center for Human Nature, AI, and Neuroscience Visiting Associate Professor
  • 2021/04 - 現在 National Institute of Information and Communications Technology Advanced ICT Research Institute Center for Information and Neural Networks Senior Researcher
  • 2020/04 - 現在 Osaka University Graduate School of Frontier Biosciences Guest Associate Professor
  • 2023/10 - 2024/03 Hokkaido University Center for Human Nature, Artificial Intelligence, and Neuroscience Visiting Researcher
  • 2020/12 - 2022/03 Japan Science and Technology Agency PRESTO Researcher
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Committee career (6)：
  • 2023 - 現在 電子情報通信学会 ニューロコンピューティング研究専門委員会 専門委員
  • 2024/09 - 2024/11 日本神経回路学会 オータムスクールASCONE2024運営委員
  • 2021/06 - 2023/05 電子情報通信学会 ニューロコンピューティング(NC)研究専門委員会 幹事
  • 2021/07 - 2022/12 Creative Destruction Lab (CDL) Neuro Mentor
  • 2022 - 電子情報通信学会 FIT2022 担当委員・プログラム委員
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Awards (20)：
  • 2024/06 - 情報通信研究機構 成績優秀表彰優秀賞 (団体)
  • 2023/12 - The 24th International Symposium on Advanced Intelligent Systems Best Presentation Award Localization and Representation of Visual and Language Information in the Human Brain
  • 2023/09 - Japanese Neural Network Society Excellent Research Award
  • 2022/07 - 人工知能学会 2022年度全国大会優秀賞
  • 2021/12 - The 22nd International Symposium on Advanced Intelligent Systems Best Session Award A Deep Generative Model imitating Predictive Coding in the Human Brain
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Association Membership(s) (4)：
Society for Neuroscience ,  JAPANESE NEURAL NETWORK SOCIETY ,  THE JAPAN NEUROSCIENCE SOCIETY ,  The Japanese Society for Artificial Intelligence
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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