Developing Itô stochastic differential equation models for neuronal signal transduction pathways

Mathematical modeling and simulation of dynamic biochemical systems are receiving considerable attention due to the increasing availability of experimental knowledge of complex intracellular functions. In addition to deterministic approaches, several stochastic approaches have been developed for sim...

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Veröffentlicht in:	Computational biology and chemistry 2006-08, Vol.30 (4), p.280-291
Hauptverfasser:	Manninen, Tiina, Linne, Marja-Leena, Ruohonen, Keijo
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemical Langevin equation Computer Simulation Gillespie stochastic simulation algorithm Itô stochastic differential equation Models, Neurological Neuronal signal transduction Neurons - chemistry Neurons - metabolism Signal Transduction - physiology Stochastic Processes Time Factors
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