Details

Subject(s)

• Computational neuroscience [Browse]
• Neurobiology—Mathematical models [Browse]

Related name

• De Schutter, Erik [Browse]

Series

Computational neuroscience. [More in this series]

Summary note

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

Notes

Bibliographic Level Mode of Issuance: Monograph

Bibliographic references

Includes bibliographical references and index.

Source of description

OCLC-licensed vendor bibliographic record.

Language note

English

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 ... [et al.]
• 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.

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ISBN

• 0-262-25814-5
• 1-282-69441-3
• 9786612694417
• 0-262-25872-2

OCLC

• 460089791
• 743201370

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