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Artificial FPGA EM Cell Network with Emergence Capability for Neural Prosthesis

Research Project

Project/Area Number 21H03515
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 61040:Soft computing-related
Research InstitutionHosei University

Principal Investigator

Torikai Hiroyuki  法政大学, 理工学部, 教授 (20318603)

Co-Investigator(Kenkyū-buntansha) 松原 崇  大阪大学, 大学院基礎工学研究科, 准教授 (70756197)
若宮 直紀  大阪大学, 大学院情報科学研究科, 教授 (50283742)
関屋 大雄  千葉大学, 大学院工学研究院, 教授 (20334203)
Project Period (FY) 2021-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2023: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2022: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2021: ¥6,630,000 (Direct Cost: ¥5,100,000、Indirect Cost: ¥1,530,000)
Keywords神経補綴 / 無線通信 / 無線給電 / FPGA / 機能創発
Outline of Research at the Start

本研究では、脳の一部を置き換え可能なレベルの高度な性能を持つ神経補綴装置の実現のための基礎技術を確立する。まず、初期万能状態から捕綴対象の細胞へと機能分化を果たす電子万能神経細胞モジュールを設計する。次に、同モジュールを用いて補綴対象のネットワーク構造を反映させた電子万能神経細胞ネットワークを構成し、補綴対象が持つ機能創生メカニズムを同ネットワークに発現させるためのあらたな設計論を構築する。そして、計算機を用いた仮想臨床実験によって同ネットワークの補綴性能を検証する。さらに、生体への埋め込みに適した完全無線化電子万能神経細胞ネットワークを実装し、模擬生体を用いた実験でその動作を検証する。

Outline of Final Research Achievements

The objective of this project is to establish the fundamental technology to realize a neural prosthesis device that can be replaced with a part of the brain. The following results were obtained. (1) Development of a compact and low-power VLSI EM cell module specialized for mimicking the nonlinear dynamics of neurons in the human brain and an automatic differentiation method for the module. (2) Development of a design methodology to construct a VLSI EM cell network that can work as a neural prosthetic device. (3) Development of a methodology to implement a fully wireless VLSI EM cell network that can function as a neural prosthetic device under noisy conditions.

Academic Significance and Societal Importance of the Research Achievements

我々の身体は自己回復機能を有しているとはいえ脆弱であり、例えば、乳幼児期にインフルエンザに罹患して高熱を発すると内耳内の蝸牛の機能が失われてしまい、その結果、聴覚障碍になる場合がある。また、アルツハイマー型認知症などにより脳機能の一部が失われるリスクもある。このように、感覚器や神経系の機能が失われる可能性は誰しもが持っており、それら一部失われた機能を人工的に生成した電気信号で補完する技術が神経補綴である。本研究では、特に脳を対象にした高性能な神経補綴装置の開発に取り組むが、これが未来の医療にとって意義深いことは明らかである。

Report

(4 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • Research Products

    (12 results)

All 2024 2023 2022 2021

All Journal Article (6 results) (of which Peer Reviewed: 6 results,  Open Access: 3 results) Presentation (6 results) (of which Int'l Joint Research: 6 results)

  • [Journal Article] A Novel Ergodic Discrete Difference Equation Cochlear Model: Theoretical Analyses, Reproduction of Mammalian Nonlinear Sound Processing, and Comparison of Implementation2024

    • Author(s)
      Kubota Itsuki, Takeda Kentaro, Torikai Hiroyuki
    • Journal Title

      IEEE Transactions on Circuits and Systems II: Express Briefs

      Volume: 71 Issue: 2 Pages: 877-881

    • DOI

      10.1109/tcsii.2023.3313491

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Novel Hardware-Efficient Ergodic Sequential Logic Neuron Model: Cellular Differentiation Method and Virtual Clinical Trial of Neural Prosthesis2024

    • Author(s)
      Shiomi Yuta、Suzuki Haruto、Torikai Hiroyuki
    • Journal Title

      IEEE Transactions on Circuits and Systems II: Express Briefs

      Volume: early access Issue: 9 Pages: 1-1

    • DOI

      10.1109/tcsii.2024.3388549

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A novel design method of simplified central nervous system model of C. elegans based on hybrid dynamics of sequential logic and numerical integration2023

    • Author(s)
      Onodera Kazuhito、Torikai Hiroyuki
    • Journal Title

      IEICE Electronics Express

      Volume: 20 Issue: 10 Pages: 20230110-20230110

    • DOI

      10.1587/elex.20.20230110

    • ISSN
      1349-2543
    • Year and Date
      2023-05-25
    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Two-tone distortion products in hardware-efficient cochlea model based on asynchronous cellular automaton oscillator2021

    • Author(s)
      Takeda Kentaro、Torikai Hiroyuki
    • Journal Title

      IEICE Electronics Express

      Volume: 18 Issue: 18 Pages: 20210310-20210310

    • DOI

      10.1587/elex.18.20210310

    • NAID

      130008091835

    • ISSN
      1349-2543
    • Year and Date
      2021-09-25
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A Novel Hardware-Oriented Recurrent Network of Asynchronous CA Neurons for a Neural Integrator2021

    • Author(s)
      Takeda Kentaro、Torikai Hiroyuki
    • Journal Title

      IEEE Transactions on Circuits and Systems II: Express Briefs

      Volume: 68 Issue: 8 Pages: 2972-2976

    • DOI

      10.1109/tcsii.2021.3063932

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Smooth gait transition in hardware-efficient CPG model based on asynchronous coupling of cellular automaton phase oscillators2021

    • Author(s)
      Takeda Kentaro、Torikai Hiroyuki
    • Journal Title

      Nonlinear Theory and Its Applications, IEICE

      Volume: 12 Issue: 3 Pages: 336-355

    • DOI

      10.1587/nolta.12.336

    • NAID

      130008060808

    • ISSN
      2185-4106
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] A novel hardware-efficient ergodic sequential logic spiking neural network and reproductions of biologically plausible spatio-temporal phenomena towards development of neural prosthetic device2023

    • Author(s)
      Yuta Shiomi and Hiroyuki Torikai
    • Organizer
      International Joint Conference on Neural Networks (IJCNN)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Novel Ergodic Sequential Logic CPG: Efficient FPGA Implementation and Realizations of Various Gaits and their Safe Transitions2023

    • Author(s)
      Kento Nakamura and Hiroyuki Torikai
    • Organizer
      International Joint Conference on Neural Networks (IJCNN)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Pavlovian Conditioning Modeling Using Wireless Spiking Neural Network2023

    • Author(s)
      Jiaying Lin; Ryuji Nagazawa; Kien Nguyen; Hiroo Sekiya; Hiroyuki Torikai; Mikio Hasegawa; Won-Joo Hwang
    • Organizer
      International SoC Design Conference (ISOCC)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Novel Hardware-Efficient Network of Ergodic Cellular Automaton Neuron Models and its On-FPGA Learning2022

    • Author(s)
      Haruto Suzuki and Hiroyuki Torikai
    • Organizer
      IEEE International Symposium on Circuits and Systems (ISCAS)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A novel ergodic cellular automaton cochlear model: reproduction of nonlinear sound processing functions of mammalian cochlea and efficient hardware implementation2022

    • Author(s)
      Itsuki Kubota, Kentaro Takeda, and Hiroyuki Torikai
    • Organizer
      International Joint Conference on Neural Networks (IJCNN)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A novel asynchronous sequential logic model of central pattern generator for quadruped robot: systematic design and efficient implementation2021

    • Author(s)
      Sho Komaki, Kentaro Takeda, and Hiroyuki Torikai
    • Organizer
      IEEE-INNS International Joint Conference on Neural Networks
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research

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Published: 2021-04-28   Modified: 2025-01-30  

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