Stochastic differential equation models for spatially distributed neurons and propagation of chaos for interacting systems-Reference-Cited by-同舟云学术

Stochastic differential equation models for spatially distributed neurons and propagation of chaos for interacting systems

Published:1992-12 Issue:2 Volume:112 Page:207-224
ISSN:0025-5564
Container-title:Mathematical Biosciences
language:en
Short-container-title:Mathematical Biosciences

Author:

Kallianpur Gopinath

Publisher

Elsevier BV

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine,Statistics and Probability

Reference16 articles.

1. Interacting Hilbert space valued diffusions;Bhatt,1992

2. Propagation of chaos and the McKean-Vlasov equation in duals of nuclear spaces;Chiang;Appl. Math. Optim.,1991

3. G. Hardy, G. Kallianpur, S. Ramasubramanian, and J. Xiong, Nuclear space-valued stochastic differential equations driven by Poisson random measures (submitted for publication).

4. A quantitative description of membrane current and its application to conduction and excitation nerve;Hodgkin;J. Physiol.,1952

5. Stochastic differential equations in duals of nuclear spaces with some applications;Kallianpur,1986

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