Rchr
J-GLOBAL ID:200901093984462189   Update date: Jul. 15, 2020

Kobayashi Ryota

コバヤシ リョウタ | Kobayashi Ryota
Affiliation and department:
Job title: Associate Professor
Homepage URL  (2): http://www.hk.k.u-tokyo.ac.jp/r-koba/index.htmlhttp://www.hk.k.u-tokyo.ac.jp/r-koba/en/index.html
Research field  (1): Soft computing
Research keywords  (3): Machine learning ,  Data mining ,  Computational Neuroscience
Research theme for competitive and other funds  (1):
  • Spike generation mechanism of cortical neurons
Papers (12):
  • Kostal L, Kobayashi R. Critical size of neural population for reliable information transmission. Physical Review E (Rapid Communication). 2019. 100. 050401(R)
  • Kobayashi R, Kurita S, Kurth A, Kitano K, Mizuseki K, Diesmann M, Richmond B.J, Shinomoto S. Reconstructing Neuronal Circuitry from Parallel Spike Trains. Nature Communications. 2019. 10. 4468
  • Levakova M, Kostal L, Monsempès C, Lucas P, Kobayashi R. Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in moth. Journal of the Royal Society Interface. 2019. 16. 20190246
  • Proskurnia J, Grabowicz PA, Kobayashi R, Castillo C, Cudre-Mauroux P, Aberer K. Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series,. WWW 2017. 2017. 755-764
  • Ryota Kobayashi, Hiroshi Nishimaru, Hisao Nishijo. ESTIMATION OF EXCITATORY AND INHIBITORY SYNAPTIC CONDUCTANCE VARIATIONS IN MOTONEURONS DURING LOCOMOTOR-LIKE RHYTHMIC ACTIVITY. NEUROSCIENCE. 2016. 335. 72-81
more...
MISC (10):
  • Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond, Shigeru Shinomoto. Synthetic spike data generated by a network of 1,000 Hodgkin-Huxley type neurons. figshare. 2019
  • Ryota Kobayashi, Mutsumi Kimura, Youichiro Miyake, Ryutaro Ichise R. Editors' Introduction to "Materials informatics". Journal of Japanese Society for Artificial Intelligence. 2019. 34. 3. 324-324
  • Kobayashi Ryota, Hiroshi Okamoto, Hiroshi Yamakawa. Editors' Introduction to "Physics and AI". Journal of Japanese Society for Artificial Intelligence. 2018. 33. 4
  • Ryota Kobayashi, Hiroshi Yamakawa. Brain Simulation. Journal of Japanese Society for Artificial Intelligence. 2015. 30. 5. 605-606
  • Ryota Kobayashi. A Survey of Results on Large-Scale Brain Simulation. Journal of Japanese Society for Artificial Intelligence. 2015. 30. 5. 647-651
more...
Lectures and oral presentations  (58):
  • Estimating Neural Connectivity from Spike Trains
    (NetSci-X 2020)
  • Efficiency of information processing in the brain: Information theoretic approach
    (Technical Committee on Reliable Communication and Control 2019)
  • Estimating synaptic connections from parallel spike trains
    (Mini-Workshop on neuronal dynamics 2019)
  • イベント時系列解析とその応用
    (FIT 2019 2019)
  • イベント時系列からネットワークを再構成する
    (ネットワーク科学セミナー 2019 2019)
more...
Professional career (1):
  • Ph.D (Kyoto University)
Work history (3):
  • 2020/04 - 現在 Graduate School of Frontier Sciences, The University of Tokyo
  • 2013/04 - 2020/03 National institute of Informatics
  • 2009/04 - 2013/03 Ritsumeikan University
Committee career (1):
  • 2020/03 - 現在 Social Informatics 2020 Programme Committee
Association Membership(s) (4):
THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  The Physical Society of Japan ,  Japanese Neural Network Society ,  The Japan Neuroscience Society
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