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
Link To Document :
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