Rchr
J-GLOBAL ID：201201099323643326   Update date: Jan. 30, 2024

Kohno Takashi

コウノ タカシ | Kohno Takashi
Affiliation and department：
The University of Tokyo Institute of Industrial Science

About The University of Tokyo Institute of Industrial Science


Homepage URL  (2)： http://kaken.nii.ac.jp/d/r/90447350.ja.html ,  http://www.sat.t.u-tokyo.ac.jp/~kohno
Research field  (1)： Biological, health, and medical informatics
Research keywords  (5)： silicon neuronal networks ,  neuromimetic information processing ,  spiking neuronal networks ,  脳・神経 ,  先端機能デバイス
Research theme for competitive and other funds  (8)：
  • 2021 - 2024 Breakthrough in fundamental technology for ultralow-power neuromorphic hardware
  • 2017 - 2021 Exploring the mechanism of frequency tuning of auditory sensory neurons in flies
  • 2016 - 2018 Large-scale silicon neuronal networks by digital arithmetic circuits(Fostering Joint International Research)
  • 2013 - 2016 Large-scale silicon neuronal network based on digital arithmetic circuits
  • 2008 - 2013 Mathematical Modeling of Neural Information Processing Based on Presynapitc Control and its Applications to Engineering
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Papers (15)：
  • Agnes Tixier-Mita, Satoshi Ihida, Damien Blanchard, Marie Shinohara, Anne-Claire Eiler, Grant Alexander Cathcart, Pierre-Marie Faure, Takashi Kohno, Yasuyuki Sakai, Timothee Levi, et al. 2D Dielectrophoresis using an active matrix array made by thin-film-transistor technology. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING. 2019. 14. 9. 1280-1288
  • Timothee Levi, Takuya Nanami, Atsuya Tange, Kazuyuki Aihara, Takashi Kohno. Development and Applications of Biomimetic Neuronal Networks Toward BrainMorphic Artificial Intelligence. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS. 2018. 65. 5. 577-581
  • Timothée Levi, Yanchen Guo, Kazuyuki Aihara, Takashi Kohno. Study of real-time biomimetic CPG on FPGA: behavior and evolution. JRNAL. 2018. 4. 4. 299-302
  • Kohno Takashi, Sekikawa Munehisa, Aihara Kazuyuki. A configurable qualitative-modeling-based silicon neuron circuit. Nonlinear Theory and Its Applications, IEICE. 2017. 8. 1. 25-37
  • KOHNO Takashi. An approach to next-generation Artificial Intelligence: Silicon neuronal networks. Journal of Information Processing and Management. 2017. 60. 7. 461-470
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MISC (11)：
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Professional career (1)：
  • PhD in Engineering (University of Tokyo)
Work history (1)：
  • 2007 - 2010 The University of Tokyo Institute of Industrial Science
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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