• DocumentCode
    3223658
  • Title

    The cellular neural network as a retinal camera for visual prosthesis

  • Author

    Werblin, Frank S. ; Jacobs, Adam

  • Author_Institution
    Dept. of Molecular & Cell Biol., California Univ., Berkeley, CA, USA
  • Volume
    4
  • fYear
    1997
  • fDate
    9-12 Jun 1997
  • Firstpage
    2327
  • Abstract
    A retinal camera-on-a-chip is proposed. The chip is used for two purposes: 1) it provides a computationally powerful camera to drive a visual prosthetic; and 2) it serves as a “hypothesis generator” for proving the patterns of activity that must be generated by the camera. The design of the chip is based on cellular neural network technology, a massively parallel analog processor of enormous power. The patterns are based upon physiological studies of the massively parallel output patterns measured in living retinas. The device is capable of generating a series of simultaneous retina-like output patterns that can be introduced either at the optic nerve or visual cortex as an interactive visual prosthetic camera, controlled by both the user and the visual environment
  • Keywords
    CMOS analogue integrated circuits; cellular neural nets; eye; image sensors; neural chips; prosthetics; visual evoked potentials; CMOS IC; cellular neural network; massively parallel analog processor; optic nerve; retinal camera; visual cortex; visual prosthesis; Cameras; Cellular neural networks; Neural prosthesis; Optical computing; Optical control; Optical devices; Power generation; Prosthetics; Retina; Semiconductor device measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks,1997., International Conference on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-7803-4122-8
  • Type

    conf

  • DOI
    10.1109/ICNN.1997.614423
  • Filename
    614423