Computational neuroscience :  realistic modeling for experimentalists / 
edited by Erik de Schutter ; CD-ROM by Robert C. Cannon. 
 - 1 online resource (347 pages) 
 - Methods & new frontiers in neuroscience series .
<br/><br/> 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 /  Dieter Jaeger --   Jaap van Pelt, Arjen van Ooyen, and Harry B.M. Uylings --   Guy Major --   Erik De Schutter --   Ronald L. Calabrese, Andrew A.V. Hill, and Stephen D. Van Hooser --   Michael E. Hasselmo --   Örjan Ekeberg. 
<br/><br/><label>ISBN: </label>9780429122040 
<br/><br/><label>Standard No.: </label>10.1201/9781420039290   doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computational neuroscience.
<br/><br/><label>LC Class. No.: </label>QP357.5  / .C636 2001 
<br/><br/><label>Dewey Class. No.: </label>573.8015118  / C738