• DocumentCode
    303283
  • Title

    VLSI design for real-time signal processing based on biologically realistic neural models

  • Author

    Tsai, Richard H. ; Sheu, Bing J. ; Berger, Theodore W.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    676
  • Abstract
    The hippocampus region of the brain system performs cognitive functions of learning and memory. A VLSI design of a hippocampal model has been proposed and two mixed analog-digital chips which use analog circuits for parallel computing and digital circuits for interconnection were designed and fabricated by the MOSIS service. The objectives of this research effort is to incorporate adequate biological constraints into the microelectronic chips and systems. (i) to provide a basis for realizing a massively parallel, hardware model with which to study the dynamics of biological neural networks, and (ii) so that the well-known signal processing capabilities of the nervous system can be more readily applied to the solution of real-world problems
  • Keywords
    VLSI; brain models; mixed analogue-digital integrated circuits; neural chips; neurophysiology; physiological models; signal processing; MOSIS service; VLSI design; analog circuits; biologically realistic neural models; brain system; cognitive functions; digital circuits; hippocampus region; learning; memory; microelectronic chips; mixed analog-digital chips; nervous system; parallel computing; real-time signal processing; Analog circuits; Analog-digital conversion; Biological system modeling; Biomedical signal processing; Digital circuits; Hippocampus; Integrated circuit interconnections; Parallel processing; Signal design; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.548977
  • Filename
    548977