Stochastic Biomathematical Models with Applications to Neuronal Modeling /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bachar, Mostafa (Επιμελητής έκδοσης), Batzel, Jerry (Επιμελητής έκδοσης), Ditlevsen, Susanne (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Lecture Notes in Mathematics, 2058
• Θέματα: Mathematics.; Neurobiology.; Mathematical models.; Probabilities.; Statistics.; Probability Theory and Stochastic Processes.; Mathematical Modeling and Industrial Mathematics.; Statistics for Life Sciences, Medicine, Health Sciences.

Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems. In certain biological systems, stochastic effects may even enhance a signal, thus providing a biological motivation for the noise observed in living systems. Recent adva...

Πίνακας περιεχομένων:

• 1 Introduction to stochastic models in biology
• 2 One-dimensional homogeneous diffusions
• 3 A brief introduction to large deviations theory
• 4 Some numerical methods for rare events simulation and analysis
• 5 Stochastic Integrate and Fire models: a review on mathematical methods and their applications
• 6 Stochastic partial differential equations in Neurobiology: linear and nonlinear models for spiking neurons
• 7 Deterministic and stochastic FitzHugh-Nagumo systems
• 8 Stochastic modeling of spreading cortical depression.