Second edition of Principles of Computational Modelling in Neuroscience textbook published

David Sterratt and David Willshaw, former Informatics members Bruce Graham and Andrew Gillies, and Gaute Einevoll have published the second edition of their textbook 'Principles of Computational Modelling in Neuroscience' (Cambridge University Press).

Principles of Computational Modelling in Neuroscience

Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling.

This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn.

Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience.

Related links

Link to textbook, accompanying code and exercises on Cambridge Press website

Link to textbook on DiscoverEd website