• DocumentCode
    406515
  • Title

    Context-dependence of the binocular VOR; an emerging property of brainstem circuit topology

  • Author

    Khojasteh-Lakelayeh, E. ; Galiana, H.L.

  • Author_Institution
    Dept. of Biomed. Eng., McGill Univ., Montreal, Que., Canada
  • Volume
    2
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    1738
  • Abstract
    The study of binocular control systems has unmasked several advantages linked to the topology of premotor neural networks. In the angular vestibulo-ocular reflex (VOR), there is a need to tune the gain of the reflex separately for each eye with head perturbations, depending on the distance and eccentricity of a visual target from the midsaggital plane of the head. The natural structural symmetry of the ocular premotor circuits can imbed the required changes in simultaneous vergence and conjugate components of the binocular VOR system. Here we demonstrate that including simple nonlinearities on the function of premotor cells in this symmetric circuit achieves the desired context-dependence for the binocular VOR. This approach allows very complex behaviors in response to sensory patterns without resorting to currently assumed complex cortical computations. The local premotor topology with its nonlinear properties can be sufficient for on-line reflex adaptation to behavioral context in the ocular system and has implications for other motor systems (such as stretch reflex modulation during rhythmic walking).
  • Keywords
    biomechanics; brain; cellular biophysics; eye; neural nets; neurophysiology; behavioral context; binocular angular vestibulo-ocular reflex; binocular control system; brainstem circuit topology; cortical computation; eye; head perturbation; local premotor topology; midsaggital plane; natural structural symmetry; neural topology; ocular premotor circuit; ocular system; on-line reflex adaptation; premotor neural network; reflex modulation; rhythmic walking; sensory pattern; sensory-motor mapping; stretch reflex modulation; visual target; Biological neural networks; Biomedical engineering; Circuit topology; Context modeling; Control systems; Eyes; Head; Integrated circuit modeling; Irrigation; Network topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279738
  • Filename
    1279738