• DocumentCode
    1605894
  • Title

    Pulse stream current mode CMOS CNN chip

  • Author

    Paasio, An ; Dawidziuk, Adam ; Porra, Veikko

  • Author_Institution
    Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
  • fYear
    1996
  • Firstpage
    457
  • Lastpage
    460
  • Abstract
    A new idea of analog cellular neural network (CNN) VLSI implementation is described. The main problem in neural networks realization is the size of adjustable connections between neurons in the net. The weight circuits may occupy more than 90% of the single neuron space. The main advantage of current mode pulse stream neurons is small size of the weight circuit. The simplicity of the building blocks used allows one to operate them with relatively high speed. As compared with the other pulse stream circuits, this approach is based on current pulses. Therefore, for both basic neural operations, summation and multiplication are easy to implement, if only the phase is irrelevant
  • Keywords
    CMOS analogue integrated circuits; VLSI; analogue processing circuits; cellular neural nets; neural chips; CMOS neural chip; VLSI; analog cellular neural network; current pulses; pulse stream current mode; weight circuits; CMOS technology; Cellular neural networks; Frequency; Neurons; Pulse circuits; Pulse generation; Space vector pulse width modulation; Switches; Very large scale integration; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
  • Conference_Location
    Seville
  • Print_ISBN
    0-7803-3261-X
  • Type

    conf

  • DOI
    10.1109/CNNA.1996.566617
  • Filename
    566617