• DocumentCode
    827873
  • Title

    An analog VLSI chip emulating polarization vision of octopus retina

  • Author

    Momeni, Massoud ; Titus, Albert H.

  • Author_Institution
    Dept. of Electr. Eng., State Univ. of New York, Buffalo, NY, USA
  • Volume
    17
  • Issue
    1
  • fYear
    2006
  • Firstpage
    222
  • Lastpage
    232
  • Abstract
    Biological systems provide a wealth of information which form the basis for human-made artificial systems. In this work, the visual system of Octopus is investigated and its polarization sensitivity mimicked. While in actual Octopus retina, polarization vision is mainly based on the orthogonal arrangement of its photoreceptors, our implementation uses a birefringent micropolarizer made of YVO4 and mounted on a CMOS chip with neuromorphic circuitry to process linearly polarized light. Arranged in an 8×5 array with two photodiodes per pixel, each consuming typically 10 μW, this circuitry mimics both the functionality of individual Octopus retina cells by computing the state of polarization and the interconnection of these cells through a bias-controllable resistive network.
  • Keywords
    VLSI; computer vision; neural chips; polarisation; CMOS chip; YVO/sub 4/; analog VLSI chip; bias-controllable resistive network; biological systems; birefringent micropolarizer; human-made artificial systems; neuromorphic circuitry; octopus retina cells; photoreceptors; polarization sensitivity; polarization vision; Biological systems; Birefringence; CMOS process; Circuits; Neuromorphics; Optical polarization; Photoreceptors; Retina; Very large scale integration; Visual system; Analog VLSI; Octopus retina; birefringent micropolarizer; neuromorphic CMOS; polarization vision; Algorithms; Animals; Computer Systems; Computers, Analog; Eye, Artificial; Microcomputers; Models, Neurological; Octopodiformes; Retina;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2005.860865
  • Filename
    1593705