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Physiological experiment of multiplex communication in neuronal networks

Research Project

Project/Area Number 17K20029
Research Category

Grant-in-Aid for Challenging Research (Exploratory)

Allocation TypeMulti-year Fund
Research Field Applied informatics and related fields
Research InstitutionOsaka University

Principal Investigator

Nishitani Yoshi  大阪大学, 医学系研究科, 特任研究員 (30613715)

Project Period (FY) 2017-06-30 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2019: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2018: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2017: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Keywords脳内情報処理 / 培養神経細胞 / スパイク波 / 多重通信機構 / 学習効果 / 集大成 / 再現性 / 繰り返し刺激間隔 / 識別率向上効果 / 識別 / 学習効果への影響 / 繰り返し刺激 / 刺激応答 / 多重通信 / 学習機構 / 生理学的実証
Outline of Final Research Achievements

In this study, I studied learning effect in multiplex communication mechanism accompanied with the repetition stimulation in the cultured neuronal networks. As is generally known, the brain has learning mechanism. For example, playing technique of musical instruments improves by repeated practice. Therefore spikes wave is gathered and formed by learning effect accompanied with the repetition stimulation. As the result, a communications link is established, and the improvement of the identification rate is expected in cultured neuronal networks. To show this theory, I analyzed spatiotemporal pattern of spike wave generated by repetition stimulation at regular intervals at particular part. As a result, in the specific part of the neuronal network, the improvement of the identification rate was observed. I think this result suggests the basic mechanism of the learning effect of the intelligence.

Academic Significance and Societal Importance of the Research Achievements

本研究課題は、本申請者がこれまで培ってきた研究成果を結集し、未だ解明されていない、生体脳の学習機構の原理、ひいては知能の原理を脳内情報通信の視点から解明しようとする挑戦であった。その成果はBrain Machine Interface(BMI)、運動や楽器演奏などにおける効率的な訓練、認知症の予防科学などの基礎に資することができると考えられる。さらに将来的には、失われた脳機能の一部分を人工的に補助する、言わば「脳リハビリテーションシステム」の開発も夢ではなくなると考えられる。

Report

(5 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (7 results)

All 2020 2019 2018 2017

All Journal Article (5 results) (of which Peer Reviewed: 5 results,  Open Access: 4 results) Presentation (2 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] Multiplex signal transmission by spike waves (Part 2): In cultured neuronal networks2020

    • Author(s)
      Yoshi Nishitani
    • Journal Title

      Current Trends in Neurology

      Volume: 14 Pages: 35-44

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Leaning process for identifying communications by repetitive stimulation : Feasibility investigation in cultured neuronal network2019

    • Author(s)
      Yoshi Nishitani, Chie Hosokawa, Yuko Mizuno-Matsumoto, Tomomitsu Miyoshi, Shinichi Tamura
    • Journal Title

      AIMS Neuroscience

      Volume: 6(4) Issue: 4 Pages: 240-249

    • DOI

      10.3934/neuroscience.2019.4.240

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Asynchronous multiplex communication channels in 2D neural network with fluctuating characteristics2018

    • Author(s)
      Shinichi Tamura, Yoshi Nishitani, Chie Hosokawa, Yuko Mizuno-Matsumoto
    • Journal Title

      IEEE Transactions on Neural Networks and Learning Systems

      Volume: 99 Issue: 8 Pages: 1-10

    • DOI

      10.1109/tnnls.2018.2880565

    • Related Report
      2018 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal network2018

    • Author(s)
      Yoshi Nishitani, Chie Hosokawa, Yuko Mizuno-Matsumoto, Tomomitsu Miyoshi, Shinichi Tamura
    • Journal Title

      AIMS Neuroscience

      Volume: 5 Issue: 1 Pages: 13-31

    • DOI

      10.3934/neuroscience.2018.1.18

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Learning Times Required to Identify the Stimulated Position and Shortening of Propagation Path by Hebb’s Rule in Neural Network2017

    • Author(s)
      Shun Sakuma, Yuko Mizuno-Matsumoto, Yoshi Nishitani, Shinichi Tamura
    • Journal Title

      AIMS Neuroscience

      Volume: 4 Pages: 238-253

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Multiplex communication in neural network by asynchronous spike wave propagation2018

    • Author(s)
      Shinichi Tamura, Yoshi Nishitani, Chie Hosokawa, Tomomitsu Miyoshi, Yuko Mizuno-Matsumoto, Yen-Wei Chen
    • Organizer
      FENS
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] 神経回路網シミュレーションにおける刺激位置の識別に要する学習回数とHebb則による伝播経路の短縮2017

    • Author(s)
      佐久間 俊  西谷 陽志  水野(松本) 由子 田村 進一
    • Organizer
      日本臨床神経生理学会
    • Related Report
      2017 Research-status Report

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Published: 2017-07-21   Modified: 2022-01-27  

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