Rchr
J-GLOBAL ID：200901097144733551   Update date: Jul. 16, 2024

Kitano Katsunori

Kitano Katsunori
Affiliation and department：
Ritsumeikan University College of Information Science and Engineering, Department of Information Science and Engineering

About Ritsumeikan University College of Information Science and Engineering, Department of Information Science and Engineering


Job title： Professor
Other affiliations (2)：
Research field  (1)： Biological, health, and medical informatics
Research keywords  (13)： 包括脳ネットワーク ,  統合脳・統合脳 ,  神経回路 ,  神経回路モデル ,  脳深部刺激 ,  淡蒼球 ,  視床下核 ,  同期現象 ,  数理モデル ,  大脳基底核 ,  基底核 ,  並列計算 ,  シミュレーション
Research theme for competitive and other funds  (10)：
  • 2022 - 2027 色彩を支配する錐体シナプスの構造機能連関と移植シナプス再生機能解析
  • 2022 - 2027 Human-like machine tactile sensation using recurrent temporal and spacial reduction
  • 2019 - 2024 時空間視覚情報処理を実現する網膜ダイナミクスの機能構築理解と数理モデル構築
  • 2015 - 2020 Inference of functional networks between brain regions
  • 2012 - 2018 From molecules to consciousness, the role of retinal ON bipolar cells in visual function.
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Papers (49)：
  • Chad P Grabner, Daiki Futagi, Jun Shi, Vytas Bindokas, Katsunori Kitano, Eric A Schwartz, Steven H DeVries. Mechanisms of simultaneous linear and nonlinear computations at the mammalian cone photoreceptor synapse. Nature communications. 2023. 14. 1. 3486-3486
  • Katsunori Kitano. The network configuration in Parkinsonian state compensates network activity change caused by loss of dopamine. Physiological reports. 2023. 11. 4. e15612
  • Itsuki Kanemura, Katsunori Kitano. Association between different sensory modalities based on concurrent time series data obtained by a collaborative reservoir computing model. Scientific reports. 2023. 13. 1. 173-173
  • Song Ye, Keiichi Kitajo, Katsunori Kitano. Information-theoretic approach to detect directional information flow in EEG signals induced by TMS. Neuroscience research. 2020. 156. 197-205
  • Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J Richmond, Shigeru Shinomoto. Reconstructing neuronal circuitry from parallel spike trains. Nature communications. 2019. 10. 1. 4468-4468
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MISC (29)：
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Lectures and oral presentations  (22)：
  • Dopamine-dependent cellular plasticity induces normal/pathological neural response of a subthalamic neuron model
    (Japan Society for Simulation Technology Annual Conference 2011)
  • Dopaminergic modulation of neural activity in a computational model of subthalamic nucleus and globus pallidus network
    (Asia Simulation Conference 2009 2009)
  • 局所大脳皮質神経活動から構成された機能的神経回路の特性
    (第32回神経科学大会 2009)
  • 細胞膜特性により調節される淡蒼球神経回路の同期活動
    (第32回神経科学大会 2009)
  • Dopamine-dependent dynamical state changes in network models of subthalamic nucleus and globus pallidus
    (the 36th International Congress of Physiological Sciences 2009)
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Education (1)：
  • - 2000 Kyoto University Graduate school of Informatics Department of Applied Mathematics and Physics
Professional career (1)：
  • "Ph.D. (Informatics, Kyoto University)" (Kyoto University)
Work history (6)：
  • 2009 - Ritsumeikan University College of Information Science and Engineering
  • 2006 - 2007 Ritsumeikan University
  • 2007 - Ritsumeikan University College of Information Science and Engineering
  • 2006 - Ritsumeikan University College of Information Science and Engineering
  • 2004 - Ritsumeikan University College of Information Science and Engineering
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Association Membership(s) (3)：
The Japan Neuroscience Society ,  Japanese Neural Network Society ,  Society for Neuroscience(北米神経科学学会)
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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