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1998 Fiscal Year Final Research Report Summary

Bio-inspired processing of multi-dimensional information

Research Project

Project/Area Number 07248105
Research Category

Grant-in-Aid for Scientific Research on Priority Areas

Allocation TypeSingle-year Grants
Research InstitutionTokyo Institute of Technology

Principal Investigator

ISHIHARA Hiroshi  Tokyo Institute of Technology Frontier Collaborative Research Center Professor, フロンティア創造共同研究センター, 教授 (60016657)

Co-Investigator(Kenkyū-buntansha) YONETSU Hiroo  Toyohashi University of Technology Faculty of Engineering Professor, 工学部, 教授 (90191668)
HO Kouichiro  Tokyo University Faculty of Engineering Professor, 工学部, 教授 (60211538)
AMEMIYA Yoshihiro  Hokkaido University Faculty of Engineering Professor, 工学部, 教授 (80250489)
SHIBATA Tadashi  Tokyo University Faculty of Engineering Professor, 工学部, 教授 (00187402)
IWATA Atsushi  HIROSHIMA University Faculty of Engineering Professor, 工学部, 教授 (30263734)
OKABE Youichi  Tokyo University AT&T Bell Laboratories Professor (50011169)
YAMAKAWA Tsuyoshi  Kyusyu Institute of Technology Faculty of Computer Science and Systems Engineering Professor (00005547)
Project Period (FY) 1995 – 1998
Keywordsbio-inspired processing / nurochip / caotic circuits / imaging processor / nuron-MOS / analog-digital-merged circuits / retina chip / adaptive-learning system
Research Abstract

In this research group, hardware implementation of multi-dimensional information which includes time domain information as well as two-dimensional special information is realized using pure-binary. multi-valued, analog and analog-digital-merged systems. Particular attention is paid in such bio-inspired system as the adaptive-learning system in which response for stimulus is changed by the past experience and the reorganizing system, and quick response based on association of ideas or rough judgement is expected.
In the research topic in which an adaptive-learning neurochip is fabricated using ferroelectric-gate FETs. a test chip was fabricated by integrating a CMOS Schmitt trigger circuit with ferroelectric-gate FETs with SrBi2Ta2O9 film on an SOI (silicon-on-insulator) structure and it was demonstrated that the output pulse frequency increased with increase of input pulse number. This operation can be regarded as an adaptive-learning function.
Concerning generation of caotic signals, two kinds of integrated circuits were fabricated ; one is the external clock typewhich is composed of capacitors and npn bipolar transistors and the other is internal clock type which is composed of astable CMOS multi-vibrators.
Concerning analog-digital-merged circuits, pulse width modulation system was imp lemented for intelligent imaging processor, in which functional image sensors, pattern matching processors, and so on are integrated in a chip. In CMOS digital and neuron MOS technologies. high-precision analog nonvolatile memories and association engine chip to look for the most resemble data were developed.
Finally, a new retina chip for edge detection was fabricated, in which the whole area except for the photo-cell area acts as the channel region of MOSFET and plays a role of two-dimensional wiring. This layout is useful in avoiding the complexity of interconnection among photo-cells.

  • Research Products

    (12 results)

All Other

All Publications (12 results)

  • [Publications] H.Ishiwara,Y.Aoyama,S.Okada,T.Shimamura,E.Tokumitsu: "Ferroelectric neuron circuits with adaptive-learning function"J.Computers and Electrical Engineering. 23. 431-438 (1997)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] S.M.Yoon,E.Tokumitsu,H.Ishiwara: "Adaputive - Learning neuron integrated circuits using metal - Ferroelectric (SrBi2Ta2O9)-Semiconductor(MPS)FET's"IEEE Electron Device Lett.. 20. 526-528 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] N-J,Wu,N.Shibata,Y.Amemiya: "Boltzmann machine neuron device using quantum-coupled single electrons"Apple. Phys. Lett.. 72. 3214-3216 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] H.Yonezu,K.Tsuji,D.Sudo,J.-K.Shin: "Self-organizing network for feature-map formation : Analog integrated circuit robust to device and circuit mismatch"J.Computers & Electrical Engineering. 24. 63-73 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] M.Nagata,J.Funakoshi,A.Iwata: "A PWM signal processing core circuit based on a switched current integration technique"IEEE. J.Solid-State Circuits. 33. 53-59 (1998)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] A.Nakada,T.Shibata,M.Konda,T.Morimoto,T.Ohmi: "A Fully-parallel vector quantization processor for real-time motion picture compression"IEEE. J.Solid-State Circuits. 34. 822-830 (1999)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] H. Ishiwara, Y. Aoyama, S. Okada, T. Shimamura,and E. Tokumitsu: "Ferroelectric neuron circuits with adaptive-learning function"Apple. Phys. Lett.. Vol.23. 431-438 (1997)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] S-M. Yoon, E. Tokumitsu, and H. Ishiwara: "Adaputive-Learning neuron integrated circuits using natal-Ferroelectric(SrBiィイD22ィエD2TaィイD22ィエD2OィイD29ィエD2)-Semiconductor(MOS)FET's"IEEE Electron Device Lett.. Vol.20. 526-528 (1999)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] N-J, Wu, N. Shibata, and Y. Amemiya: "Boltzmann machine neuron device using quantum-coupled single electrons"Apple. Phys. Lett.. Vol.72. 3214-3216 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] H. Yonezu, K. Tsuji, D. Sudo, and J.-K. Shin: "Self-organizing network for feature-map formation Analog integrated circuit robust to device and circuit mismatch"J. Computers & Electrical Engineering. Vol.24. 63-73 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] M. Nagata, J. Funakoshi, and A. Iwata: "A PWM signal processing core circuit based on a switched current integration technique"IEEE. J. Solid-State Circuit. Vol.33. 53-59 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] A. Nakada, T. Shibata, M. Konda, T. Morimoto, and T. Ohmi: "A Fully-parallel vector quantization processor for real-time motion Picture compression"IEEE. J. Solid-State Circuit. Vol.34. 822-830 (1999)

    • Description
      「研究成果報告書概要(欧文)」より

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Published: 2001-10-23  

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