Computational modeling methods for neuroscientists / edited by Erik De Schutter.

Includes bibliographical references and index.

Differential equations / Bard Ermentrout and John Rinzel -- Parameter searching / Pablo Achard, Werner Van Geit, and Gwendal LeMasson -- Reaction-diffusion modeling / Upinder S. Bhalla and Stefan Wils -- Modeling intracellular calcium dynamics / Erik De Schutter -- Modeling voltage-dependent channels / Alain Destexhe and John R. Huguenard -- Modeling synapses / Arnd Roth and Mark C.W. van Rossum -- Modeling point neurons : from Hodgkin-Huxley to integrate-and-fire / Nicolas Brunel -- Reconstruction of neuronal morphology / Gwen Jacobs, Brenda Claiborne, and Kristen Harris -- An approach to capturing neuron morphological diversity / Haroon Anwar [and others] -- Passive cable modeling / William R. Holmes -- Modeling complex neurons / Erik De Schutter and Werner Van Geit -- Realistic modeling of small neuronal networks / Ronald L. Calabrese and Astrid A. Prinz -- Large-scale network simulations in systems neuroscience / Reinoud Maex, Michiel Berends, and Hugo Cornelis.

Print version record.

This is a guide to computational modelling methods in neuroscience covering a range of modelling scales from molecular reactions to large neural networks.

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide