Stochastic biomathematical models: with applications to neuronal modeling / Mostafa Bachar, Jerry Batzel, Susanne Ditlevsen, editors

Auteur secondaire : Bachar, Mostafa - Editeur scientifique ; Batzel, Jerry - Editeur scientifique ; Ditlevsen, Susanne - Editeur scientifiqueType de document: CongrèsCollection: Lecture notes in mathematics, Mathematical biosciences subseries ; 2058Langue: anglaisPays: AllemagneÉditeur: Berlin : Springer, cop. 2013Description: (1 vol. XVI-206 p.) : fig. ; 24 cm ISBN: 9783642321566 ; br. Résumé: 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 advances in stochastic analysis and increasing computing power facilitate the analysis of more biophysically realistic models, and this book provides researchers in computational neuroscience and stochastic systems with an overview of recent developments. Key concepts are developed in chapters written by experts in their respective fields. Topics include: one-dimensional homogeneous diffusions and their boundary behavior, large deviation theory and its application in stochastic neurobiological models, a review of mathematical methods for stochastic neuronal integrate-and-fire models, stochastic partial differential equation models in neurobiology, and stochastic modeling of spreading cortical depression. (Source : Springer).Bibliographie: Bibliogr. en fin de contributions. Index. Sujets MSC: 92-06 Biology and other natural sciences -- Proceedings, conferences, collections, etc
92B05 Biology and other natural sciences -- Mathematical biology in general -- General biology and biomathematics
92C20 Biology and other natural sciences -- Physiological, cellular and medical topics -- Neural biology
60J70 Probability theory and stochastic processes -- Markov processes -- Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.)
En-ligne: Springerlink | Zentralblatt | MathSciNet
Location Call Number Status Date Due
Salle R 12188-01 / 92-06 BAC (Browse Shelf) Available

Bibliogr. en fin de contributions. Index

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 advances in stochastic analysis and increasing computing power facilitate the analysis of more biophysically realistic models, and this book provides researchers in computational neuroscience and stochastic systems with an overview of recent developments. Key concepts are developed in chapters written by experts in their respective fields. Topics include: one-dimensional homogeneous diffusions and their boundary behavior, large deviation theory and its
application in stochastic neurobiological models, a review of mathematical methods for stochastic neuronal integrate-and-fire models, stochastic partial differential equation models in neurobiology, and stochastic modeling of spreading cortical depression. (Source : Springer)

There are no comments for this item.

Log in to your account to post a comment.
Languages: English | Français | |