Computational neuroscience : realistic modeling for experimentalists
by
 
Schutter, Erik de.

Title
Computational neuroscience : realistic modeling for experimentalists

Author
Schutter, Erik de.

ISBN
9780429122040

Physical Description
1 online resource (347 pages)

Series
Methods & new frontiers in neuroscience series

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 / chapter 7 Modeling Dendritic Geometry and the Development of Nerve Connections / chapter 8 Passive Cable Modeling — A Practical Introduction / chapter 9 Modeling Simple and Complex Active Neurons / chapter 10 Realistic Modeling of Small Neuronal Circuits / chapter 11 Modeling of Large Networks / chapter 12 Modeling of Interactions Between Neural Networks and Musculoskeletal Systems

Subject Term
Computational neuroscience.

Added Author
Schutter, Erik de.

Electronic Access
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LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book545861-1001QP357.5 .C636 2001CRC E-Books