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Computational Systems Neurobiology

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Cover of 'Computational Systems Neurobiology'

Table of Contents

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    Book Overview
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    Chapter 1 Functional Genomics and Molecular Networks Gene Expression Regulations in Complex Diseases: Down Syndrome as a Case Study
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    Chapter 2 Reconstructing Models from Proteomics Data
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    Chapter 3 Using Chemical Kinetics to Model Neuronal Signalling Pathways
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    Chapter 4 Breakdown of Mass-Action Laws in Biochemical Computation
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    Chapter 5 Spatial Organization and Diffusion in Neuronal Signaling
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    Chapter 6 The Performance (and Limits) of Simple Neuron Models: Generalizations of the Leaky Integrate-and-Fire Model
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    Chapter 7 Multi-compartmental Models of Neurons
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    Chapter 8 Noise in Neurons and Other Constraints
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    Chapter 9 Methodological Issues in Modelling at Multiple Levels of Description
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    Chapter 10 Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on Supercomputers
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    Chapter 11 Co-operative Populations of Neurons: Mean Field Models of Mesoscopic Brain Activity
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    Chapter 12 Cellular Spacing: Analysis and Modelling of Retinal Mosaics
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    Chapter 13 Measuring and Modeling Morphology: How Dendrites Take Shape
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    Chapter 14 Axonal Growth and Targeting
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    Chapter 15 Encoding Neuronal Models in SBML
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    Chapter 16 NeuroML
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    Chapter 17 XPPAUT
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    Chapter 18 NEST by Example: An Introduction to the Neural Simulation Tool NEST
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Title
Computational Systems Neurobiology
Published by
Springer Netherlands, June 2012
DOI 10.1007/978-94-007-3858-4
ISBNs
978-9-40-073857-7, 978-9-40-073858-4, 978-9-40-178380-4
Authors

Liley, David T. J., Foster, Brett L., Bojak, Ingo

Editors

N. Le Novère

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 5%
United Kingdom 4 4%
France 2 2%
Switzerland 1 <1%
Cuba 1 <1%
Sweden 1 <1%
Spain 1 <1%
Japan 1 <1%
Greece 1 <1%
Other 0 0%
Unknown 89 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 26%
Researcher 21 20%
Student > Master 16 15%
Student > Bachelor 7 7%
Professor 5 5%
Other 19 18%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 28%
Neuroscience 19 18%
Computer Science 13 12%
Engineering 8 8%
Mathematics 7 7%
Other 18 17%
Unknown 11 10%