• DocumentCode
    2516058
  • Title

    Towards an hydrogenated amorphous silicon phototransistor cellular neural network

  • Author

    Beccherelli, R. ; De Cesare, G. ; Palma, F.

  • Author_Institution
    Dept. of Electron. Eng., Rome Univ., Italy
  • fYear
    1994
  • fDate
    18-21 Dec 1994
  • Firstpage
    357
  • Lastpage
    362
  • Abstract
    This paper proposes a possible realization of an effective Cellular Neural Network by amorphous silicon technology, which can be deposited in thin film on a large variety of substrate by PECVD from a silane gas. High sensitivity photodetectors may be obtained on large area substrates. A coupling structure is studied to verify the possibility to obtain a network of detectors having as input signal the incident light, and the coupling currents generated from the first neighbours
  • Keywords
    amorphous semiconductors; cellular neural nets; phototransistors; thin film circuits; Cellular Neural Network; Si:H; amorphous silicon technology; coupling structure; high sensitivity photodetectors; phototransistor; thin film; Amorphous silicon; Cellular neural networks; Glass; Optical coupling; Photodetectors; Phototransistors; Photovoltaic cells; Plasma temperature; Semiconductor materials; Substrates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
  • Conference_Location
    Rome
  • Print_ISBN
    0-7803-2070-0
  • Type

    conf

  • DOI
    10.1109/CNNA.1994.381649
  • Filename
    381649