| Description |
1 online resource (xii, 419 pages) : illustrations |
| Series |
Computational neuroscience |
|
Computational neuroscience.
|
| Contents |
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 |
| Summary |
This is a guide to computational modelling methods in neuroscience covering a range of modelling scales from molecular reactions to large neural networks |
| Analysis |
NEUROSCIENCE/General |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Computational neuroscience.
|
|
Neurobiology -- Mathematical models
|
|
Models, Neurological
|
|
Neurosciences -- methods
|
|
MEDICAL -- Neuroscience.
|
|
PSYCHOLOGY -- Neuropsychology.
|
|
Computational neuroscience
|
| Form |
Electronic book
|
| Author |
De Schutter, Erik
|
| ISBN |
9780262258722 |
|
0262258722 |
|
1282694413 |
|
9781282694415 |
|
0262013274 |
|
9780262013277 |
|
