Rchr
J-GLOBAL ID:201701012557955487   Update date: Apr. 17, 2024

Sasaki Ryo

Sasaki Ryo
Affiliation and department:
Job title: Professor
Research field  (4): Clinical pharmacy ,  Physiology ,  Basic brain sciences ,  Neuroscience - general
Research keywords  (8): 神経活動 ,  神経細胞 ,  神経回路 ,  virus vector ,  optogenetics ,  population decoding ,  マルチユニット記録 ,  decision-making
Research theme for competitive and other funds  (15):
  • 2024 - 2027 時間階層的意思決定の神経回路機構の解明
  • 2021 - 2025 Neural circuits of multimodal spatiotemporal integration during flexible foraging navigation
  • 2023 - 2024 『個』の多様性とその障害の神経基盤の解明
  • 2021 - 2024 大規模脳神経回路における意思の解読と光時空間制御
  • 2021 - 2024 戦略的意思決定の神経回路機構の解明
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Papers (9):
  • Ryo Sasaki, Yasumi Ohta, Hirotaka Onoe, Reona Yamaguchi, Takeshi Miyamoto, Takashi Tokuda, Yuki Tamaki, Kaoru Isa, Jun Takahashi, Kenta Kobayashi, et al. Balancing risk-return decisions by manipulating the mesofrontal circuits in primates. Science (New York, N.Y.). 2024. 383. 6678. 55-61
  • Ryo Sasaki, Hironori Kumano, Akinori Mitani, Yuki Suda, Takanori Uka. Task-Specific Employment of Sensory Signals Underlies Rapid Task Switching. Cerebral cortex (New York, N.Y. : 1991). 2022
  • Ryo Sasaki, Akiyuki Anzai, Dora E. Angelaki, Gregory C. DeAngelis. Flexible coding of object motion in multiple reference frames by parietal cortex neurons. Nature Neuroscience. 2020
  • Sasaki R, Angelaki DE, DeAngelis GC. Processing of object motion and self-motion in the lateral subdivision of the medial superior temporal area in macaques. Journal of neurophysiology. 2019. 121. 4. 1207-1221
  • Ryo Sasaki, Dora E. Angelaki, Gregory C. DeAngelis. Dissociation of Self-Motion and Object Motion by Linear Population Decoding That Approximates Marginalization. JOURNAL OF NEUROSCIENCE. 2017. 37. 46. 11204-11219
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MISC (9):
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Lectures and oral presentations  (45):
  • 柔軟な報酬獲得戦略を導く認知多様性の脳神経回路動態の解明
    (2023)
  • Dynamic readout of multiscale reward variables from low-dimensional neural oscillation in frontal cortex during risk-return decision-making
    (The 46th Annual Meeting of the Japan Neuroscience Society 2023)
  • Computational mechanisms of risk preference generated in recurrent neural networks
    (The 46th Annual Meeting of the Japan Neuroscience Society 2023)
  • Decoding Network Activity in Prefrontal Cortical Regions with Optogenetic Network Control for Flexible Risk-return Decision Making
    (Uehara International Symposium 2023 “Big Data-Driven Approaches with AI in Life Sciences,” Tokyo, Japan 2023)
  • A novel virtual reality task for measuring strategic decision-making for balancing the reward and cost
    (The 100th Anniversary Annual Meeting of the Physiological Society of Japan 2023)
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Education (3):
  • 2005 - 2009 Juntendo University Graduate School of Medicine
  • 2003 - 2005 Juntendo University Graduate School of Health and Sports Science.
  • 1999 - 2003 Juntendo University Faculty of Health and Sports Science
Professional career (1):
  • PhD (Medicine) (Juntendo University)
Work history (12):
  • 2024/04 - 現在 National Institute for Physiological Sciences Division of Multisensory Integration Systems, Department of System Neuroscience Professor
  • 2018/04 - 2024/03 Kyoto University Graduate School of Medicine
  • 2018/04 - 2024/03 Kyoto University Physiology and Neurobiology, Graduate school of medicine Assistant professor
  • 2021/10 - 2022/03 PRESTO (Precursory Research for Embryonic Science and Technology) Researcher, Japan Science and Technology Agency (JST)
  • 2017/09 - 2018/03 Kyoto University Graduate School of Medicine
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Awards (2):
  • 2013/07 - Japan Society for the Promotion of Science Postdoctoral Fellowship for Research Abroad
  • 2010/07 - The Uehara Memorial Foundation Postdoctoral Fellowship for Research Abroad
Association Membership(s) (2):
Society for Neuroscience ,  THE JAPAN NEUROSCIENCE SOCIETY
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