Open AccessDESIGN OF DETERMINISTIC MODEL OF SIGNAL TRANSDUCTION BETWEEN NEURONAL CELLS
Author(s) -
Maryna A. Hliatsevich,
П. М. Булай,
Т. Н. Питлик,
A. B. Denisov,
С. Н. Черенкевич
Publication year - 2015
Publication title -
mathematical modelling and analysis/mathematical modeling and analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 25
eISSN - 1648-3510
pISSN - 1392-6292
DOI - 10.3846/13926292.2015.1002823
Subject(s) - postsynaptic potential , nonlinear system , signal (programming language) , ordinary differential equation , transduction (biophysics) , differential (mechanical device) , mathematics , extracellular , biological system , differential equation , control theory (sociology) , mathematical analysis , computer science , biophysics , physics , chemistry , biology , receptor , artificial intelligence , microbiology and biotechnology , biochemistry , control (management) , quantum mechanics , programming language , thermodynamics
Mathematical model describing signal transduction between neurons has been presented using the system of nonlinear ordinary differential equations. The Cauchy problem for the given system has been solved numerically and system parameters were adjusted to match the results of experimental measurements of extracellular postsynaptic potentials in rat hippocampus slices. While fitting model to the experimental data some values of synaptic parameters have been determined.