Computational neuroscience : realistic modeling for experimentalists / edited by Erik de Schutter ; CD-ROM by Robert C. Cannon.
Contributor(s): Schutter, Erik de
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Material type: 

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.
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