• DocumentCode
    3756434
  • Title

    Numerical Investigation of the Two-Dimensioaln Neural Field Equation with Delay

  • Author

    Pedro M. Lima;Evelyn Buckwar

  • Author_Institution
    Inst. of Stochastics, Johannes Kepler Univ., Linz, Austria
  • fYear
    2015
  • Firstpage
    131
  • Lastpage
    137
  • Abstract
    Neural Field Equations (NFEs) are integrodifferential equations which describe the electric potential field and the interaction between neurons, in certain regions of the brain. They are becoming increasingly important for the interpretation of EEG, fMRi and optical imaging data. In the present article we describe a new efficient algorithm for the numerical simulation of two-dimensional neural fields with delays. The main features of this method are discussed and its performance is illustrated by some numerical examples.
  • Keywords
    "Mathematical model","Delays","Neurons","Interpolation","Kernel","Convergence","Chebyshev approximation"
  • Publisher
    ieee
  • Conference_Titel
    Mathematics and Computers in Sciences and in Industry (MCSI), 2015 Second International Conference on
  • Type

    conf

  • DOI
    10.1109/MCSI.2015.46
  • Filename
    7423954