• DocumentCode
    2534653
  • Title

    A qualitative model-framework for spatio-temporal effects in vertebrate retinas

  • Author

    Balya, D. ; Roska, B. ; Nemeth, E. ; Roska, T. ; Werblin, F.

  • Author_Institution
    Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    165
  • Lastpage
    170
  • Abstract
    Retinal models based on the cellular neural network (CNN) paradigm have been widely used. These neuromorphic models are based on retinal anatomy and physiology. In this paper a framework is proposed for qualitative spatio-temporal studies in vertebrate retinas, the underlying retinal anatomy is followed as closely as possible, the characteristics of the physiological models, however, are kept simple. The goal is to model the qualitative effects, since the developed models are simple, compared to a fully neuromorphic one, we have a good chance to implement them on CNN Universal Machine chips using multi-layer technology
  • Keywords
    cellular neural nets; eye; multilayer perceptrons; neural chips; physiological models; CNN Universal Machine chips; multi-layer technology; neuromorphic models; qualitative model-framework; qualitative spatio-temporal studies; spatio-temporal effects; underlying retinal anatomy; vertebrate retinas; Anatomy; Biological cells; Biological system modeling; Biology computing; Cellular neural networks; Computer networks; Laboratories; Neuromorphics; Prototypes; Retina;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
  • Conference_Location
    Catania
  • Print_ISBN
    0-7803-6344-2
  • Type

    conf

  • DOI
    10.1109/CNNA.2000.876839
  • Filename
    876839