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There is a separate website for Edition 2 of Principles of Computational Modelling in Neuroscience, which was published in 2023. This website will be archived or disappear at some point.

Welcome to the Principles of Computational Modelling in Neuroscience Edition 1 web site.

Here you will find examples of code that can recreate many of the figures we generated from simulations.

There are also extensive links to external resources, such as neural simulators and various databases.

The Cambridge University Press page for the book has more resources, including excerpts and electronic versions of all the figures.

David Sterratt, Bruce Graham, Andrew Gillies and David Willshaw

News

Training workshop using our book
06/11/2012 - 09:20

Co-author Bruce Graham is using Principles of Computational Modelling in Neuroscience as the basis for a 2-day practical workshop on computational neuroscience with NEURON practical sessions that he is running for TEKBAC in Kuala Lumpur and Singapore later in June. A complimentary copy of this book will be given to each participant.

Review
05/28/2012 - 10:25

We've had our first review, by Li Shen (Briefings in Bioinformatics 13: 390-392). Here are some quotes:

This book has done a nice job of laying out their strategy for covering major topics in the field of computational neuroscience while maintaining a well-organized structure.

As a computer scientist working on analyzing human brain data at the macro-scale level and a non-expert in modeling the neuronal data at the micro-scale level, I have found this book very easy to follow and have enjoyed reading it.

In summary, this is a timely, well-written book that provides a comprehensive, in-depth and state-of-the-art coverage of computational modeling in neuroscience. It can serve as an excellent text for a graduate level course in computational neuroscience, as well as a valuable reference for experimental neuroscientists, computational neuroscientists and people working in relevant areas such as neuroinformatics and systems biology.

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