• DocumentCode
    787266
  • Title

    Modeling and estimation problems in the turtle visual cortex

  • Author

    Nenadic, Zoran ; Ghosh, Bijoy K. ; Ulinski, Philip S.

  • Author_Institution
    Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
  • Volume
    49
  • Issue
    8
  • fYear
    2002
  • Firstpage
    753
  • Lastpage
    762
  • Abstract
    The goal of this paper is to verify that position and velocity of a spot of light incident on the retina of a turtle are encoded by the spatiotemporal dynamics of the cortical waves they generate. This conjecture is examined using a biophysically realistic large-scale computational model of the visual cortex implemented with the software package, GENESIS. The cortical waves are recorded and analyzed using principal components analysis and the position and velocity information from visual space is mapped onto an abstract B-space, to be described, using the coefficients of the principal components expansion. The likely values of the position/velocity are estimated using standard statistical detection methods.
  • Keywords
    Bayes methods; Karhunen-Loeve transforms; brain models; eye; maximum likelihood estimation; neurophysiology; physiological models; principal component analysis; visual evoked potentials; Bayesian estimation; GENESIS software package; Karhunen-Loeve decomposition; abstract B-space; action potentials; biophysically realistic model; cortical waves; estimation problems; large-scale computational model; light spot position; light spot velocity; low-dimensional subspace; maximum-likelihood estimation; membrane potentials; moving stimulus; principal components analysis; retina; spatiotemporal dynamics; stationary stimulus; turtle visual cortex; Brain modeling; Computational modeling; Extracellular; Information analysis; Large-scale systems; Neurons; Principal component analysis; Retina; Software packages; Spatiotemporal phenomena; Algorithms; Animals; Bayes Theorem; Cluster Analysis; Computer Simulation; Evoked Potentials, Visual; Interneurons; Models, Neurological; Motion; Motion Perception; Nerve Net; Photic Stimulation; Pyramidal Cells; Reproducibility of Results; Retina; Turtles; Visual Cortex; Visual Fields;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2002.800753
  • Filename
    1019438