A novel approach to model neuronal signal transduction using stochastic differential equations

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

• Type: Journal
• Year: 2006
• Where: IJON
• Authors: Tiina Manninen, Marja-Leena Linne, Keijo Ruohonen
• Keywords: IJON 2006, Neuronal Signal Transduction, Signal Transduction, Stochastic Models