• DocumentCode
    434569
  • Title

    Turtle cortical activity captured by dynamic models

  • Author

    Joseph, Jenner J. ; Ghosh, B.K.

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Washington Univ., St. Louis, MO, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    136
  • Abstract
    It is well known that visual targets evoke waves of activity in the visual cortex of freshwater turtles. In this paper we construct an ARMA system realization of the cortical wave generated as a result of both simple stationary flash and moving natural inputs to the cortex. These inputs include video sequences from ´an ocean with moving fish´. The input sequences and the output cortical waves are represented with respect to suitably chosen spatial and temporal bases. The corresponding coefficient sequences are viewed as inputs to and outputs of the ARMA system. The paper discusses system realization using a least squares algorithm.
  • Keywords
    autoregressive moving average processes; biocontrol; least squares approximations; neurophysiology; visual evoked potentials; ARMA system; dynamic model; freshwater turtles; least squares algorithm; output cortical waves; turtle cortical activity; video sequences; visual cortex; visual targets; Brain modeling; Extracellular; Large-scale systems; Least squares methods; Nonlinear systems; Oceans; Principal component analysis; Systems engineering and theory; Video sequences; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1428619
  • Filename
    1428619