• DocumentCode
    671451
  • Title

    A spiking thalamus model for form and motion processing of images

  • Author

    Chelian, Suhas E. ; Srinivasa, Narayan

  • Author_Institution
    Inf. Syst. & Sci. Lab., HRL Labs., LLC, Malibu, CA, USA
  • fYear
    2013
  • fDate
    4-9 Aug. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The thalamus, far from being a simple relay, supports several functions including attention and awareness. Recent spiking models of the thalamus tend to focus on abstract thalamocortical features such as rhythms and synchrony. Here a new spiking retino-thalamic model is presented that reproduces several aspects in visual processing including distinct form and motion processing pathways. Using test and natural image sequences, differences between parvocellular and magnocellular relay neurons are studied. In line with several experimental results, parvocellular neurons are found to be more sensitive to changes in color (necessary for form processing) than temporal frequency (necessary for motion processing) and conversely for magnocellular neurons. This model can in turn be used as input into subsequent cortical models or as a tool to aid in experimentation. Future extensions could include modeling brainstem or cortical influence on thalamic processing, as well as the control of virtual agents.
  • Keywords
    cellular biophysics; cellular neural nets; image motion analysis; image sequences; medical image processing; abstract thalamocortical features; cortical influence; cortical models; image motion processing; image sequences; magnocellular neurons; magnocellular relay neuron; modeling brainstem; motion processing pathways; parvocellular neurons; spiking retino-thalamic model; spiking thalamus model; temporal frequency; thalamic processing; virtual agents; Firing; Image color analysis; Image sequences; Neurons; Relays; Retina; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2013 International Joint Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-6128-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2013.6706790
  • Filename
    6706790