• DocumentCode
    1299876
  • Title

    Neuronal response to stochastic stimulation

  • Author

    Tuckwell, Henry C.

  • Author_Institution
    Dept. of Math., Monash Univ., Clayton, Vic., Australia
  • Issue
    3
  • fYear
    1984
  • Firstpage
    464
  • Lastpage
    469
  • Abstract
    A complete binary dendritic tree is considered in which each branch (cylinder) receives random input. The depolarization on each cylinder satisfies a stochastic cable equation. The Laplace transform of the solution can be found by solving a linear system of 2[2n+1-1] equations when there are n orders of branching. The Laplace transform method is shown to yield the exact solution for a single cylinder with white noise current injection. A tree with n branches emanating from a common origin (soma) is then considered. With each branch electrotonic length the same, the depolarization at the soma may be found exactly and expressions may be obtained for its mean and variance.
  • Keywords
    Laplace transforms; bioelectric phenomena; neural nets; neurophysiology; stochastic processes; Laplace transform; binary dendritic tree; depolarization; linear system; random input; stochastic stimulation; white noise current; Boundary conditions; Equations; Laplace equations; Mathematical model; Stochastic processes; Transforms; White noise;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/TSMC.1984.6313239
  • Filename
    6313239