• DocumentCode
    2777791
  • Title

    From Light to Spikes: a Large-Scale Retina Simulator

  • Author

    Wohrer, Adrien ; Kornprobst, Pierre ; Viéville, Thierry

  • Author_Institution
    Inst. Nat. de Recherche en inf. et Autom., Sophia Antipolis
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    4562
  • Lastpage
    4570
  • Abstract
    The purpose of this article is to provide potential neuroscientists and computer scientists with an artificial retina model, delivering spikes to higher-level visual tasks simulations. The architecture of our retina model is based on recent physiological studies, so that each feature is related to real retina characteristics. The model includes a linear filtering process, followed by a static non-linearity, and then a spike generation process. Two series of tests were performed: firstly on single cells for which ground truth is available, secondly on realistic visual scenes. This retina model can be further extended and we describe some possible additional features. It is our conviction that building such a bio-inspired model will help in better understanding how the retina performs and also in relating observations to biological mechanisms.
  • Keywords
    eye; filtering theory; neurophysiology; physiological models; visual perception; artificial retina model; bioinspired model; biological mechanisms; computer scientists; higher-level visual tasks simulations; large-scale retina simulator; linear filtering process; neuroscientists; spike generation process; static nonlinearity; visual scenes; Biological system modeling; Computational modeling; Computer architecture; Computer simulation; Large-scale systems; Layout; Maximum likelihood detection; Performance evaluation; Retina; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.247083
  • Filename
    1716732