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Mathematical Modeling of Biological Systems, Volume II

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Cover of 'Mathematical Modeling of Biological Systems, Volume II'

Table of Contents

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    Book Overview
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    Chapter 1 Could Low-Efficacy Malaria Vaccines Increase Secondary Infections in Endemic Areas?
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    Chapter 2 Modeling of the Invasion of a Fungal Disease over a Vineyard
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    Chapter 3 An Algorithm for Parameter Estimation in Nosocomial Infections
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    Chapter 4 Evolutionarily Stable Investment in Anti-Predatory Defences and Aposematic Signalling
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    Chapter 5 The Tangled Nature Model of Evolutionary Ecology: An Overview
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    Chapter 6 Relative Advantage and Fundamental Theorems of Natural Selection
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    Chapter 7 Competitive Exclusion Between Year-Classes in a Semelparous Biennial Population
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    Chapter 8 On the Impact ofWinter Conditions on the Dynamics of an Isolated Population
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    Chapter 9 Planning for Biodiversity Conservation Using Stochastic Programming
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    Chapter 10 A Diffusion-Reaction Model of a Mixed-Culture Biofilm Arising in Food Safety Studies
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    Chapter 11 The Periodical Population Dynamics of Lottery Models Including the Effect of Undeveloped Seeds
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    Chapter 12 An Automata-Based Microscopic Model Inspired by Clonal Expansion
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    Chapter 13 Th1–Th2 Regulation and Allergy: Bifurcation Analysis of the Non-Autonomous System
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    Chapter 14 Architecture of Randomly Evolving Idiotypic Networks
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    Chapter 15 Analysis of Infectious Mortality by Means of the Individualized Risk Model
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    Chapter 16 Neuromorphological Phenotyping in Transgenic Mice: A Multiscale Fractal Analysis
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    Chapter 17 A Quantitative Model of ATP-Mediated Calcium Wave Propagation in Astrocyte Networks
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    Chapter 18 Dynamics of Neural Fields with Distributed Transmission Speeds
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    Chapter 19 Estimation of Differential Entropy for Positive Random Variables and Its Application in Computational Neuroscience
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    Chapter 20 Dynamics of Integrate-and-Fire Models
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    Chapter 21 A Monte Carlo Method Used for the Identification of the Muscle Spindle
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    Chapter 22 Mechanisms of Coincidence Detection in the Auditory Brainstem: Examples
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    Chapter 23 Multi-Scale Analysis of Brain Surface Data
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    Chapter 24 The Spike Generation Processes: A Case for Low Level Computation
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    Chapter 25 Offdiagonal Complexity: A Computationally Quick Network Complexity Measure—Application to Protein Networks and Cell Division
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    Chapter 26 Mathematical Modeling of Biological Systems, Volume II
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    Chapter 27 A Bayesian Approach to the Quantitative Polymerase Chain Reaction
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    Chapter 28 A Model of Poplar ( Populus sp.) Physiology and Morphology Based on Relational Growth Grammars
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    Chapter 29 Asymptotic Behavior of a Two-Dimensional Keller–Segel Model with and without Density Control
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    Chapter 30 Saturation Effects in Population Dynamics: Use Branching Processes or Dynamical Systems?
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    Chapter 31 Modelling and Simulation by Stochastic Interacting Particle Systems
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    Chapter 32 Teaching Mathematical Biology in a Summer School for Undergraduates
Attention for Chapter 5: The Tangled Nature Model of Evolutionary Ecology: An Overview
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Chapter title
The Tangled Nature Model of Evolutionary Ecology: An Overview
Chapter number 5
Book title
Mathematical Modeling of Biological Systems, Volume II
Published by
Birkhäuser Boston, January 2008
DOI 10.1007/978-0-8176-4556-4_5
Book ISBNs
978-0-8176-4555-7, 978-0-8176-4556-4
Authors

Simon Laird, Daniel Lawson, Henrik Jeldtoft Jensen, Laird, Simon, Lawson, Daniel, Jensen, Henrik Jeldtoft

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Mexico 1 3%
Vietnam 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Bachelor 5 16%
Student > Doctoral Student 3 10%
Professor 3 10%
Student > Ph. D. Student 3 10%
Other 9 29%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 32%
Mathematics 5 16%
Physics and Astronomy 4 13%
Environmental Science 3 10%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 13%
Unknown 4 13%