Accession Number : ADA136507

Title :   Infinite Dimensional Stochastic Differential Equation Models for Spatially Distributed Neurons.

Descriptive Note : Technical rept.,

Corporate Author : NORTH CAROLINA UNIV AT CHAPEL HILL CENTER FOR STOCHASTIC PRECESSES

Personal Author(s) : Kallianpur,G ; Wolpert,R

PDF Url : ADA136507

Report Date : May 1983

Pagination or Media Count : 65

Abstract : The membrane potential of spatially distributed neurons is modelled as a random field driven by a generalized Poisson process. Approximation to an Ornstein-Uhlenbeck type process is established in the sense of weak convergence of the induced measures in Skorokhod space. (Author)

Descriptors :   *Mathematical models, *Stochastic processes, *Differential equations, *Nerve cells, Membranes(Biology), Potential theory, Motor neurons, Physiology, Voltage, Hilbert space, Weak convergence

Subject Categories : Anatomy and Physiology
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE