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Stochastic Biomathematical Models: with Applications to Neuronal Modeling: 2058 (Mathematical Biosciences Subseries) - Tapa blanda
Sinopsis
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.
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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.
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Stochastic Biomathematical Models : with Applications to Neuronal Modeling
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Springer Berlin Heidelberg, 2012
ISBN 10: 3642321569
ISBN 13: 9783642321566
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Stochastic Biomathematical Models: with Applications to Neuronal Modeling
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Stochastic Biomathematical Models: with Applications to Neuronal Modeling (Mathematical Biosciences Subseries)
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Stochastic Biomathematical Models
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Springer Berlin Heidelberg, 2012
ISBN 10: 3642321569
ISBN 13: 9783642321566
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written by current leading experts in the field Focus on interdisciplinary (physiological and biological) applications of stochastic methods Representation of key theoretical ideas but also clear and motivated examples of application and implementation issu. Nº de ref. del artículo: 5056830
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Stochastic Biomathematical Models
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Springer Berlin Heidelberg Okt 2012, 2012
ISBN 10: 3642321569
ISBN 13: 9783642321566
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 itsapplication 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. 224 pp. Englisch. Nº de ref. del artículo: 9783642321566
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Stochastic Biomathematical Models : with Applications to Neuronal Modeling
Publicado por
Springer Berlin Heidelberg, 2012
ISBN 10: 3642321569
ISBN 13: 9783642321566
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 itsapplication 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. Nº de ref. del artículo: 9783642321566
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Stochastic Biomathematical Models : with Applications to Neuronal Modeling
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STOCHASTIC BIOMATHEMATICAL MODELS WITH APPLICATIONS TO NEURONAL MODELING (PB 2013)
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Stochastic Biomathematical Models: with Applications to Neuronal Modeling (Mathematical Biosciences Subseries)
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STOCHASTIC BIOMATHEMATICAL MODELS WITH APPLICATIONS TO NEURONAL MODELING (PB 2013)
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