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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bachar, Mostafa (Editor ), Batzel, Jerry J. (Editor ), Ditlevsen, Susanne (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Mathematical Biosciences Subseries, 2058
Temas:
Probabilities.
Mathematical models.
Biometry.
Neurosciences.
Probability Theory.
Mathematical Modeling and Industrial Mathematics.
Biostatistics.
Neuroscience.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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