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Computational Modeling Methods for Neuroscientists - MIT Press Scholarship Online
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Computational Modeling Methods for Neuroscientists

Erik De Schutter


This book offers an introduction to current methods in computational modeling in neuroscience, and describes realistic modeling methods at levels of complexity ranging from molecular interactions to large neural networks. A “how to” book rather than an analytical account, it focuses on the presentation of methodological approaches, including the selection of the appropriate method and its potential pitfalls. The book is intended for experimental neuroscientists and graduate students who have little formal training in mathematical methods, but will also be useful for scientists with theoretical ... More

Keywords: computational modeling, neuroscience, modeling methods, molecular interactions, neural networks, experimental neuroscientists, mathematical methods, data-driven modeling, experimental work, experimentalists

Bibliographic Information

Print publication date: 2009 Print ISBN-13: 9780262013277
Published to MIT Press Scholarship Online: August 2013 DOI:10.7551/mitpress/9780262013277.001.0001


Affiliations are at time of print publication.

Erik De Schutter, editor

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Erik De Schutter

1 Differential Equations

Bard Ermentrout, and John Rinzel

2 Parameter Searching

Pablo Achard, Werner Van Geit, and Gwendal LeMasson

3 Reaction-Diffusion Modeling

Upinder S. Bhalla, and Stefan Wils

5 Modeling Voltage-Dependent Channels

Alain Destexhe, and John R. Huguenard

6 Modeling Synapses

Arnd Roth, and Mark C. W. van Rossum

8 Reconstruction of Neuronal Morphology

Gwen Jacobs, Brenda Claiborne, and Kristen Harris

9 An Approach to Capturing Neuron Morphological Diversity

Haroon Anwar, Imad Riachi, Sean Hill, Felix Schürmann, and Henry Markram

10 Passive Cable Modeling

William R. Holmes

11 Modeling Complex Neurons

Erik De Schutter, and Werner Van Geit

12 Realistic Modeling of Small Neuronal Networks

Ronald L. Calabrese, and Astrid A. Prinz

13 Large-Scale Network Simulations in Systems Neuroscience

Reinoud Maex, Michiel Berends, and Hugo Cornelis