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 .

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.

9780429122040

10.1201/9781420039290 doi


Computational neuroscience.

QP357.5 / .C636 2001

573.8015118 / C738