کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408711 679041 2006 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel approach to model neuronal signal transduction using stochastic differential equations
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A novel approach to model neuronal signal transduction using stochastic differential equations
چکیده انگلیسی

We introduce a new approach to model the behavior of neuronal signal transduction networks using stochastic differential equations. We present first a mathematical formulation for a stochastic model of protein kinase C pathway. Different kinds of numerical integration methods, including the explicit and implicit Euler–Maruyama methods, are used to solve the Ito^ form of the stochastic model. Stochastic models may provide more realistic representations for the chemical species in signal transduction networks compared to deterministic models. Our approach has the advantage of being computationally less demanding in the context of large-scale stochastic simulations than other approaches where individual chemical interactions are simulated stochastically.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 69, Issues 10–12, June 2006, Pages 1066–1069
نویسندگان
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