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...
Guardat en:
| Autor principal: | |
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| Altres autors: | , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2013. |
| Col·lecció: | Mathematical Biosciences Subseries
2058 |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
L'impression du document génère 215 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Stochastic biomathematical models, with applications to neuronal modeling, Mostafa Bachar, Jerry Batzel, Susanne Ditlevsen, editors, Heidelberg, Springer, 2013, 1 vol. (XVI-206 p.), Lecture notes in mathematics, 978-3-642-32156-6 |
Taula de continguts:
- 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