• DocumentCode
    2699797
  • Title

    Optical implementation of neural networks with wavelength-encoded bipolar weight using bacteriorhodopsin

  • Author

    Chen, Zhongping ; Takei, Hiroyuki ; Lewis, Aaron

  • fYear
    1990
  • fDate
    17-21 June 1990
  • Firstpage
    803
  • Abstract
    A unique biological molecule is presented that has an intrinsic optoelectrical characteristic which can simulate both excitation and inhibition. This distinctive material is a relative of the visual pigment rhodopsin and is called bacteriorhodopsin (BR). The polarity of the optoelectrical signal induced by BR by light depends on both its photochromic state and the excitation wavelength. This unique characteristic can be used to perform the subtraction operation using incoherent light. An optical implementation of a neural network with wavelength-encoded bipolar interconnections using BR is introduced. In this scheme, the polarity of the interconnection matrix is represented by the wavelength of the light
  • Keywords
    biomolecular electronics; neural nets; optical information processing; optical interconnections; bacteriorhodopsin; biological molecule; excitation wavelength; interconnection matrix; neural network; neural networks; optoelectrical characteristic; subtraction operation; wavelength-encoded bipolar interconnections;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1990., 1990 IJCNN International Joint Conference on
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/IJCNN.1990.137960
  • Filename
    5726917