Stochastic Biomathematical Models with Applications to Neuronal Modeling /

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...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Bachar, Mostafa (Editor), Batzel, Jerry J. (Editor), Ditlevsen, Susanne (Editor)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Mathematical Biosciences Subseries, 2058
Subjects:
Probabilities.
Mathematical models.
Biometry.
Neurosciences.
Probability Theory.
Mathematical Modeling and Industrial Mathematics.
Biostatistics.
Neuroscience.
Online Access:Texto Completo
Table of Contents:
  • 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.

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