Computational neuroscience Book

Foreword Introduction Introduction to Equation Solving and Parameter Fitting Modeling Networks of Signaling Pathways Modeling Local and Global Calcium Signals Using Reaction-Diffusion Systems Monte Carlo methods for Simulating Realistic Synaptic Microphysiology Using Mcell Which Formalism to Use for Modeling Voltage-Dependent Conductances Accurate Reconstruction of Neuronal Morphology Modeling Dendritic Geometry and the Development of Nerve Connections Passive Cable Modeling - a Practical Introduction Modeling Simple and Complex Active Neurons Realistic Modeling of Small Neuronal Circuits Modeling of Large Networks Modeling of Interactions Between Neural Networks and Musculoskeletal Systems