Computational modeling methods for neuroscientists
By: edited by Erik De Schutter.
Contributors: Schutter, Erik de.
Series: Computational neuroscience series; Computational neuroscience
Publisher: MIT Press
Published: 2010
Place of publication: Cambridge, Mass
Language: eng
Number of pages: 419
ISBN-13: 9780262013277
Subjects: Computational neuroscience; Neurobiology -- Mathematical models; Models, Neurological; Neurosciences -- methods
Notes: Includes bibliographical references and index.
Table of contents: title: Introduction to equation solving / Bard Ermentrout and John Rinzel; title: Parameter searching / Pablo Achard, Werner Van Geit and Gwendal LeMasson; title: Reaction-diffusion modeling / Upinder S. Bhalla and Stefan Wils; title: Modeling intracellular calcium dynamics / Erik De Schutter; title: Modeling voltage-dependent channels / Alain Destexhe and John R. Huguenard; title: Modeling synapses / Arnd Roth and Mark C.W. van Rossum; title: Modeling point neurons : from Hodgkin-Huxley to integrate-and-fire / Nicolas Brunel; title: Reconstruction of neuronal morphology / Gwen Jacobs, Brenda Claiborne, and Kristen Harris; title: An approach to capturing neuron morphological diversity / Haroon Anwar ... [et al.]; title: Passive cable modeling / William R. Holmes; title: Modeling complex neurons / Erik De Schutter and Werner Van Geit; title: Realistic modeling of small neuronal networks / Ronald L. Calabrese and Astrid A. Prinz; title: Large-scale network simulations in systems neuroscience / Reinoud Maex, Michiel Berends, and Hugo Cornelis.