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Computational neuroscience : realistic modeling for experimentalists /

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Schutter, Erik de
Format: eBook
Language:English
Published: Boca Raton, Fla. : CRC Press, 2001.
Series:Methods & new frontiers in neuroscience series
Subjects:
Computational neuroscience.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • chapter 1 Introduction to Equation Solving and Parameter Fitting
  • chapter 2 Modeling Networks of Signaling Pathways
  • chapter 3 Modeling Local and Global Calcium Signals Using Reaction-Diffusion Equations
  • chapter 4 Monte Carlo Methods for Simulating Realistic Synaptic Microphysiology Using MCell
  • chapter 5 Which Formalism to Use for Modeling Voltage-Dependent Conductances?
  • chapter 6 Accurate Reconstruction of Neuronal Morphology / Dieter Jaeger
  • chapter 7 Modeling Dendritic Geometry and the Development of Nerve Connections / Jaap van Pelt, Arjen van Ooyen, and Harry B.M. Uylings
  • chapter 8 Passive Cable Modeling - A Practical Introduction / Guy Major
  • chapter 9 Modeling Simple and Complex Active Neurons / Erik De Schutter
  • chapter 10 Realistic Modeling of Small Neuronal Circuits / Ronald L. Calabrese, Andrew A.V. Hill, and Stephen D. Van Hooser
  • chapter 11 Modeling of Large Networks / Michael E. Hasselmo
  • chapter 12 Modeling of Interactions Between Neural Networks and Musculoskeletal Systems / Örjan Ekeberg.