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Research for a System that Recognize the Outer World Dynamically Using the Method of Neural Information Processing and Artificial Intelligence.

Research Project

Project/Area Number 60460126
Research Category

Grant-in-Aid for General Scientific Research (B)

Allocation TypeSingle-year Grants
Research Field 電子通信系統工学
Research InstitutionUniversity of Tokyo

Principal Investigator

AMARI Shun-ichi  Fuculty of Eng., Univ. Tokyo, Prof., 工学部計数工学科, 教授 (80010726)

Co-Investigator(Kenkyū-buntansha) KURATA Koji  Fuculty of Eng., Univ. Tokyo, Res. Assoc., 工学部計数工学科, 助手 (40170071)
MAGINU Kenjiro  Kyuhsu Institute of Technology, Prfof., 情報工学科, 教授 (40011134)
Project Period (FY) 1985 – 1987
Project Status Completed (Fiscal Year 1987)
Budget Amount *help
¥5,500,000 (Direct Cost: ¥5,500,000)
Fiscal Year 1987: ¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 1986: ¥2,500,000 (Direct Cost: ¥2,500,000)
Fiscal Year 1985: ¥1,500,000 (Direct Cost: ¥1,500,000)
KeywordsReaction-Deffusion Equation / Stability / Nerve field / Topography / Columnar Structure / Associative Memory / Boltzmann Machine / 画像処理 / 並列情報処理 / 自己組織機能 / 画像の不変特徴 / 運動情報と形態情報の分離 / ボルツマンマシン
Research Abstract

The Brain is the best computer that we know. If we can understand and simulate the principle of its information processing, we will be able to make a computer that is completely different from those we have now. This is the aim of our project. It is classified into the following three parts. 1. The research of a single neuron.
The nature of the pulse trains that travl on nerve fiber is studied in terms of the reaction-diffusion equation. A new topological characteristic is defined, and it is shown to have a close relation with the stability of the pulse trains.
2. The research of neural networks.
A special kind of nerve field is studied that has the ability to learn the topology of the set of input signals. Under some condition the continuous mapping between the set of input signals and the field is unstable. in which case, it is shown, a kind of block structure is formed that reminds us of the columnar structure in the brain. Boltzmann machine, which is a thermo-dynamocal model of neuron networks, is also stukied theoretically.
3. The research of algorithms.
A new parallel processing algorithm is proposed to extract the orientation and the motion of a surface.

Report

(2 results)
  • 1987 Final Research Report Summary
  • 1986 Annual Research Report
  • Research Products

    (18 results)

All Other

All Publications (18 results)

  • [Publications] Kenjiro Maginu: SIAM J. Appl. Moth. 45-5. 750-774 (1985)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] 甘利俊一: 電子通信学会論文誌. J69-A6. 757-763 (1986)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] 甘利俊一: 電子通信学会論文誌. J68-DI. 1133-1144 (1986)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Shun-ich Amari: Matbematical Engineering Section Technial Reports. METT86. 1 (1986)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Shun-ich Amari: Spatral Vision. 2. 151-168 (1987)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Shun-ich Amari: Neural Networks. 1. 63-73 (1988)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Shin-ich Amari;C. T. J. Dodsan, Eds.: "Geometrization of Statistical Theory" UDLM Luncaster, UK, 123-152 (1987)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Shin-ich Amari;W. von Seclen, Eds.: "Mathematical Theory of Neural Networks" VCH Weinhcirs FRG, 399-413 (1987)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Kenjiro Maginu: "Geometrical Characteristics Associated with Stability and Bifurcations of Periodic Travelling Waves in Reaction-Diffusion Systems." SIAM J. Appl. Math.45-5. 750-774 (1985)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Shun-ich Amari: "A theory on the Determination of 3D Motion and 3D Structure from Features." Spatial Vision. 2. 151-168 (1977)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Shun-ichi Amari: "Statistical Neurodynamics of Associative Memory." Neural networks. 1. 63-73 (1988)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Shun-ichi Amari: UDLM Luncaster, UK. Geometrization of Statistical Theory. (C. T. J. Dodson, Eds.), 123-152 (1987)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] Shun-ichi Amari: VCH Weinheim, FRG. Mathematical Theory of Neural Networks. (W. von Seelen Eds.), 399-413 (1988)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1987 Final Research Report Summary
  • [Publications] 倉田耕治: 電子通信学会技術報告. MBE85-104. 201-207 (1986)

    • Related Report
      1986 Annual Research Report
  • [Publications] 甘利俊一: 電子通信学会論文誌. J69-A. 757-763 (1986)

    • Related Report
      1986 Annual Research Report
  • [Publications] 甘利俊一: 電子通信学会論文誌. J69-D. 1133-1144 (1986)

    • Related Report
      1986 Annual Research Report
  • [Publications] Shun-ichi Amari: Mcthematical Engineering Section Technical Reports. METR86. -1- (1986)

    • Related Report
      1986 Annual Research Report
  • [Publications] Shun-ichi Amari: Mathematical Engineering Section Technical Reports. METR86. -4- (1986)

    • Related Report
      1986 Annual Research Report

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Published: 1987-03-31   Modified: 2016-04-21  

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